1ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov//---------------------------------------------------------------------------------
2ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov//
3ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov//  Little Color Management System
4ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov//  Copyright (c) 1998-2011 Marti Maria Saguer
5ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov//
6ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Permission is hereby granted, free of charge, to any person obtaining
7ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// a copy of this software and associated documentation files (the "Software"),
8ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// to deal in the Software without restriction, including without limitation
9ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// the rights to use, copy, modify, merge, publish, distribute, sublicense,
10ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// and/or sell copies of the Software, and to permit persons to whom the Software
11ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// is furnished to do so, subject to the following conditions:
12ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov//
13ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// The above copyright notice and this permission notice shall be included in
14ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// all copies or substantial portions of the Software.
15ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov//
16ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
17ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO
18ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
19ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
20ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
21ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
22ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
23ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov//
24ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov//---------------------------------------------------------------------------------
25ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov//
26ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
27ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov#include "lcms2_internal.h"
28ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
29ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
30ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov//----------------------------------------------------------------------------------
31ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
32ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Optimization for 8 bits, Shaper-CLUT (3 inputs only)
33ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovtypedef struct {
34ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
35ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsContext ContextID;
36ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
37ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    const cmsInterpParams* p;   // Tetrahedrical interpolation parameters. This is a not-owned pointer.
38ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
39ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUInt16Number rx[256], ry[256], rz[256];
40ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUInt32Number X0[256], Y0[256], Z0[256];  // Precomputed nodes and offsets for 8-bit input data
41ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
42ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
43ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov} Prelin8Data;
44ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
45ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
46ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Generic optimization for 16 bits Shaper-CLUT-Shaper (any inputs)
47ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovtypedef struct {
48ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
49ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsContext ContextID;
50ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
51ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Number of channels
52ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int nInputs;
53ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int nOutputs;
54ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
55ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsInterpFn16 EvalCurveIn16[MAX_INPUT_DIMENSIONS];       // The maximum number of input channels is known in advance
56ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsInterpParams*  ParamsCurveIn16[MAX_INPUT_DIMENSIONS];
57ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
58ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsInterpFn16 EvalCLUT;            // The evaluator for 3D grid
59ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    const cmsInterpParams* CLUTparams;  // (not-owned pointer)
60ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
61ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
62ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsInterpFn16* EvalCurveOut16;       // Points to an array of curve evaluators in 16 bits (not-owned pointer)
63ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsInterpParams**  ParamsCurveOut16;  // Points to an array of references to interpolation params (not-owned pointer)
64ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
65ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
66ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov} Prelin16Data;
67ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
68ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
69ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Optimization for matrix-shaper in 8 bits. Numbers are operated in n.14 signed, tables are stored in 1.14 fixed
70ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
71ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovtypedef cmsInt32Number cmsS1Fixed14Number;   // Note that this may hold more than 16 bits!
72ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
73ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov#define DOUBLE_TO_1FIXED14(x) ((cmsS1Fixed14Number) floor((x) * 16384.0 + 0.5))
74ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
75ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovtypedef struct {
76ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
77ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsContext ContextID;
78ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
79ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsS1Fixed14Number Shaper1R[256];  // from 0..255 to 1.14  (0.0...1.0)
80ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsS1Fixed14Number Shaper1G[256];
81ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsS1Fixed14Number Shaper1B[256];
82ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
83ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsS1Fixed14Number Mat[3][3];     // n.14 to n.14 (needs a saturation after that)
84ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsS1Fixed14Number Off[3];
85ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
86ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUInt16Number Shaper2R[16385];    // 1.14 to 0..255
87ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUInt16Number Shaper2G[16385];
88ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUInt16Number Shaper2B[16385];
89ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
90ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov} MatShaper8Data;
91ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
92ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Curves, optimization is shared between 8 and 16 bits
93ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovtypedef struct {
94ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
95ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsContext ContextID;
96ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
97ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int nCurves;                  // Number of curves
98ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int nElements;                // Elements in curves
99ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUInt16Number** Curves;     // Points to a dynamically  allocated array
100ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
101ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov} Curves16Data;
102ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
103ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
104ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Simple optimizations ----------------------------------------------------------------------------------------------------------
105ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
106ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
107ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Remove an element in linked chain
108ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
109ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovvoid _RemoveElement(cmsStage** head)
110ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
111ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsStage* mpe = *head;
112ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsStage* next = mpe ->Next;
113ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    *head = next;
114ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsStageFree(mpe);
115ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
116ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
117ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Remove all identities in chain. Note that pt actually is a double pointer to the element that holds the pointer.
118ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
119ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovcmsBool _Remove1Op(cmsPipeline* Lut, cmsStageSignature UnaryOp)
120ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
121ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsStage** pt = &Lut ->Elements;
122ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsBool AnyOpt = FALSE;
123ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
124ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    while (*pt != NULL) {
125ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
126ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if ((*pt) ->Implements == UnaryOp) {
127ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            _RemoveElement(pt);
128ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            AnyOpt = TRUE;
129ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
130ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        else
131ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            pt = &((*pt) -> Next);
132ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
133ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
134ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return AnyOpt;
135ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
136ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
137ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Same, but only if two adjacent elements are found
138ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
139ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovcmsBool _Remove2Op(cmsPipeline* Lut, cmsStageSignature Op1, cmsStageSignature Op2)
140ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
141ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsStage** pt1;
142ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsStage** pt2;
143ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsBool AnyOpt = FALSE;
144ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
145ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    pt1 = &Lut ->Elements;
146ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (*pt1 == NULL) return AnyOpt;
147ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
148ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    while (*pt1 != NULL) {
149ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
150ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        pt2 = &((*pt1) -> Next);
151ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (*pt2 == NULL) return AnyOpt;
152ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
153ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if ((*pt1) ->Implements == Op1 && (*pt2) ->Implements == Op2) {
154ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            _RemoveElement(pt2);
155ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            _RemoveElement(pt1);
156ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            AnyOpt = TRUE;
157ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
158ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        else
159ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            pt1 = &((*pt1) -> Next);
160ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
161ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
162ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return AnyOpt;
163ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
164ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
165ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Preoptimize just gets rif of no-ops coming paired. Conversion from v2 to v4 followed
166ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// by a v4 to v2 and vice-versa. The elements are then discarded.
167ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
168ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovcmsBool PreOptimize(cmsPipeline* Lut)
169ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
170ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsBool AnyOpt = FALSE, Opt;
171ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
172ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    do {
173ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
174ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        Opt = FALSE;
175ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
176ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // Remove all identities
177ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        Opt |= _Remove1Op(Lut, cmsSigIdentityElemType);
178ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
179ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // Remove XYZ2Lab followed by Lab2XYZ
180ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        Opt |= _Remove2Op(Lut, cmsSigXYZ2LabElemType, cmsSigLab2XYZElemType);
181ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
182ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // Remove Lab2XYZ followed by XYZ2Lab
183ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        Opt |= _Remove2Op(Lut, cmsSigLab2XYZElemType, cmsSigXYZ2LabElemType);
184ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
185ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // Remove V4 to V2 followed by V2 to V4
186ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        Opt |= _Remove2Op(Lut, cmsSigLabV4toV2, cmsSigLabV2toV4);
187ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
188ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // Remove V2 to V4 followed by V4 to V2
189ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        Opt |= _Remove2Op(Lut, cmsSigLabV2toV4, cmsSigLabV4toV2);
190ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
191ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // Remove float pcs Lab conversions
192ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        Opt |= _Remove2Op(Lut, cmsSigLab2FloatPCS, cmsSigFloatPCS2Lab);
193ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
194ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // Remove float pcs Lab conversions
195ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        Opt |= _Remove2Op(Lut, cmsSigXYZ2FloatPCS, cmsSigFloatPCS2XYZ);
196ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
197ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (Opt) AnyOpt = TRUE;
198ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
199ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    } while (Opt);
200ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
201ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return AnyOpt;
202ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
203ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
204ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
205ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovvoid Eval16nop1D(register const cmsUInt16Number Input[],
206ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                 register cmsUInt16Number Output[],
207ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                 register const struct _cms_interp_struc* p)
208ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
209ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Output[0] = Input[0];
210ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
211ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUNUSED_PARAMETER(p);
212ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
213ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
214ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
215ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovvoid PrelinEval16(register const cmsUInt16Number Input[],
216ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                  register cmsUInt16Number Output[],
217ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                  register const void* D)
218ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
219ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Prelin16Data* p16 = (Prelin16Data*) D;
220ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUInt16Number  StageABC[MAX_INPUT_DIMENSIONS];
221ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUInt16Number  StageDEF[cmsMAXCHANNELS];
222ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int i;
223ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
224ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < p16 ->nInputs; i++) {
225ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
226ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        p16 ->EvalCurveIn16[i](&Input[i], &StageABC[i], p16 ->ParamsCurveIn16[i]);
227ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
228ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
229ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    p16 ->EvalCLUT(StageABC, StageDEF, p16 ->CLUTparams);
230ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
231ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < p16 ->nOutputs; i++) {
232ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
233ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        p16 ->EvalCurveOut16[i](&StageDEF[i], &Output[i], p16 ->ParamsCurveOut16[i]);
234ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
235ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
236ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
237ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
238ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
239ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovvoid PrelinOpt16free(cmsContext ContextID, void* ptr)
240ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
241ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Prelin16Data* p16 = (Prelin16Data*) ptr;
242ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
243ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsFree(ContextID, p16 ->EvalCurveOut16);
244ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsFree(ContextID, p16 ->ParamsCurveOut16);
245ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
246ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsFree(ContextID, p16);
247ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
248ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
249ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
250ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovvoid* Prelin16dup(cmsContext ContextID, const void* ptr)
251ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
252ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Prelin16Data* p16 = (Prelin16Data*) ptr;
253ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Prelin16Data* Duped = _cmsDupMem(ContextID, p16, sizeof(Prelin16Data));
254ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
255ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (Duped == NULL) return NULL;
256ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
257ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Duped ->EvalCurveOut16   = (_cmsInterpFn16*)_cmsDupMem(ContextID, p16 ->EvalCurveOut16, p16 ->nOutputs * sizeof(_cmsInterpFn16));
258ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Duped ->ParamsCurveOut16 = (cmsInterpParams**)_cmsDupMem(ContextID, p16 ->ParamsCurveOut16, p16 ->nOutputs * sizeof(cmsInterpParams* ));
259ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
260ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return Duped;
261ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
262ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
263ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
264ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
265ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovPrelin16Data* PrelinOpt16alloc(cmsContext ContextID,
266ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                               const cmsInterpParams* ColorMap,
267ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                               int nInputs, cmsToneCurve** In,
268ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                               int nOutputs, cmsToneCurve** Out )
269ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
270ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int i;
271ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Prelin16Data* p16 = _cmsMallocZero(ContextID, sizeof(Prelin16Data));
272ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (p16 == NULL) return NULL;
273ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
274ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    p16 ->nInputs = nInputs;
275ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    p16 -> nOutputs = nOutputs;
276ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
277ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
278ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < nInputs; i++) {
279ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
280ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (In == NULL) {
281ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            p16 -> ParamsCurveIn16[i] = NULL;
282ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            p16 -> EvalCurveIn16[i] = Eval16nop1D;
283ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
284ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
285ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        else {
286ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            p16 -> ParamsCurveIn16[i] = In[i] ->InterpParams;
287ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            p16 -> EvalCurveIn16[i] = p16 ->ParamsCurveIn16[i]->Interpolation.Lerp16;
288ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
289ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
290ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
291ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    p16 ->CLUTparams = ColorMap;
292ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    p16 ->EvalCLUT   = ColorMap ->Interpolation.Lerp16;
293ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
294ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
295ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    p16 -> EvalCurveOut16 = (_cmsInterpFn16*) _cmsCalloc(ContextID, nOutputs, sizeof(_cmsInterpFn16));
296ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    p16 -> ParamsCurveOut16 = (cmsInterpParams**) _cmsCalloc(ContextID, nOutputs, sizeof(cmsInterpParams* ));
297ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
298ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < nOutputs; i++) {
299ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
300ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (Out == NULL) {
301ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            p16 ->ParamsCurveOut16[i] = NULL;
302ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            p16 -> EvalCurveOut16[i] = Eval16nop1D;
303ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
304ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        else {
305ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
306ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            p16 ->ParamsCurveOut16[i] = Out[i] ->InterpParams;
307ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            p16 -> EvalCurveOut16[i] = p16 ->ParamsCurveOut16[i]->Interpolation.Lerp16;
308ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
309ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
310ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
311ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return p16;
312ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
313ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
314ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
315ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
316ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Resampling ---------------------------------------------------------------------------------
317ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
318ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov#define PRELINEARIZATION_POINTS 4096
319ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
320ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Sampler implemented by another LUT. This is a clean way to precalculate the devicelink 3D CLUT for
321ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// almost any transform. We use floating point precision and then convert from floating point to 16 bits.
322ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
323ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovint XFormSampler16(register const cmsUInt16Number In[], register cmsUInt16Number Out[], register void* Cargo)
324ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
325ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsPipeline* Lut = (cmsPipeline*) Cargo;
326ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsFloat32Number InFloat[cmsMAXCHANNELS], OutFloat[cmsMAXCHANNELS];
327ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUInt32Number i;
328ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
329ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsAssert(Lut -> InputChannels < cmsMAXCHANNELS);
330ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsAssert(Lut -> OutputChannels < cmsMAXCHANNELS);
331ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
332ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // From 16 bit to floating point
333ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < Lut ->InputChannels; i++)
334ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        InFloat[i] = (cmsFloat32Number) (In[i] / 65535.0);
335ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
336ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Evaluate in floating point
337ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsPipelineEvalFloat(InFloat, OutFloat, Lut);
338ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
339ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Back to 16 bits representation
340ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < Lut ->OutputChannels; i++)
341ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        Out[i] = _cmsQuickSaturateWord(OutFloat[i] * 65535.0);
342ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
343ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Always succeed
344ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return TRUE;
345ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
346ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
347ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Try to see if the curves of a given MPE are linear
348ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
349ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovcmsBool AllCurvesAreLinear(cmsStage* mpe)
350ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
351ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsToneCurve** Curves;
352ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUInt32Number i, n;
353ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
354ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Curves = _cmsStageGetPtrToCurveSet(mpe);
355ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (Curves == NULL) return FALSE;
356ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
357ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    n = cmsStageOutputChannels(mpe);
358ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
359ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < n; i++) {
360ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (!cmsIsToneCurveLinear(Curves[i])) return FALSE;
361ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
362ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
363ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return TRUE;
364ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
365ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
366ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// This function replaces a specific node placed in "At" by the "Value" numbers. Its purpose
367ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// is to fix scum dot on broken profiles/transforms. Works on 1, 3 and 4 channels
368ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
369ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovcmsBool  PatchLUT(cmsStage* CLUT, cmsUInt16Number At[], cmsUInt16Number Value[],
370ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                  int nChannelsOut, int nChannelsIn)
371ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
372ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsStageCLutData* Grid = (_cmsStageCLutData*) CLUT ->Data;
373ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsInterpParams* p16  = Grid ->Params;
374ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsFloat64Number px, py, pz, pw;
375ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int        x0, y0, z0, w0;
376ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int        i, index;
377ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
378ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (CLUT -> Type != cmsSigCLutElemType) {
379ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        cmsSignalError(CLUT->ContextID, cmsERROR_INTERNAL, "(internal) Attempt to PatchLUT on non-lut stage");
380ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        return FALSE;
381ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
382ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
383ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	if (nChannelsIn != 1 && nChannelsIn != 3 && nChannelsIn != 4) {
384ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		cmsSignalError(CLUT->ContextID, cmsERROR_INTERNAL, "(internal) %d Channels are not supported on PatchLUT", nChannelsIn);
385ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        return FALSE;
386ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	}
387ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (nChannelsIn == 4) {
388ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
389ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        px = ((cmsFloat64Number) At[0] * (p16->Domain[0])) / 65535.0;
390ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        py = ((cmsFloat64Number) At[1] * (p16->Domain[1])) / 65535.0;
391ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        pz = ((cmsFloat64Number) At[2] * (p16->Domain[2])) / 65535.0;
392ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        pw = ((cmsFloat64Number) At[3] * (p16->Domain[3])) / 65535.0;
393ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
394ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        x0 = (int) floor(px);
395ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        y0 = (int) floor(py);
396ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        z0 = (int) floor(pz);
397ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        w0 = (int) floor(pw);
398ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
399ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (((px - x0) != 0) ||
400ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            ((py - y0) != 0) ||
401ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            ((pz - z0) != 0) ||
402ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            ((pw - w0) != 0)) return FALSE; // Not on exact node
403ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
404ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        index = p16 -> opta[3] * x0 +
405ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                p16 -> opta[2] * y0 +
406ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                p16 -> opta[1] * z0 +
407ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                p16 -> opta[0] * w0;
408ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
409ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    else
410ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (nChannelsIn == 3) {
411ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
412ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            px = ((cmsFloat64Number) At[0] * (p16->Domain[0])) / 65535.0;
413ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            py = ((cmsFloat64Number) At[1] * (p16->Domain[1])) / 65535.0;
414ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            pz = ((cmsFloat64Number) At[2] * (p16->Domain[2])) / 65535.0;
415ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
416ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            x0 = (int) floor(px);
417ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            y0 = (int) floor(py);
418ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            z0 = (int) floor(pz);
419ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
420ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            if (((px - x0) != 0) ||
421ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                ((py - y0) != 0) ||
422ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                ((pz - z0) != 0)) return FALSE;  // Not on exact node
423ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
424ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            index = p16 -> opta[2] * x0 +
425ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                    p16 -> opta[1] * y0 +
426ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                    p16 -> opta[0] * z0;
427ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
428ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        else
429ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            if (nChannelsIn == 1) {
430ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
431ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                px = ((cmsFloat64Number) At[0] * (p16->Domain[0])) / 65535.0;
432ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
433ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                x0 = (int) floor(px);
434ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
435ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                if (((px - x0) != 0)) return FALSE; // Not on exact node
436ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
437ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                index = p16 -> opta[0] * x0;
438ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            }
439ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            else {
440ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                cmsSignalError(CLUT->ContextID, cmsERROR_INTERNAL, "(internal) %d Channels are not supported on PatchLUT", nChannelsIn);
441ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                return FALSE;
442ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            }
443ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
444ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            for (i=0; i < nChannelsOut; i++)
445ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                Grid -> Tab.T[index + i] = Value[i];
446ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
447ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            return TRUE;
448ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
449ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
450ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Auxiliar, to see if two values are equal or very different
451ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
452ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovcmsBool WhitesAreEqual(int n, cmsUInt16Number White1[], cmsUInt16Number White2[] )
453ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
454ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int i;
455ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
456ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < n; i++) {
457ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
458ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (abs(White1[i] - White2[i]) > 0xf000) return TRUE;  // Values are so extremly different that the fixup should be avoided
459ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (White1[i] != White2[i]) return FALSE;
460ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
461ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return TRUE;
462ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
463ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
464ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
465ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Locate the node for the white point and fix it to pure white in order to avoid scum dot.
466ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
467ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovcmsBool FixWhiteMisalignment(cmsPipeline* Lut, cmsColorSpaceSignature EntryColorSpace, cmsColorSpaceSignature ExitColorSpace)
468ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
469ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUInt16Number *WhitePointIn, *WhitePointOut;
470ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUInt16Number  WhiteIn[cmsMAXCHANNELS], WhiteOut[cmsMAXCHANNELS], ObtainedOut[cmsMAXCHANNELS];
471ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUInt32Number i, nOuts, nIns;
472ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsStage *PreLin = NULL, *CLUT = NULL, *PostLin = NULL;
473ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
474ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (!_cmsEndPointsBySpace(EntryColorSpace,
475ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        &WhitePointIn, NULL, &nIns)) return FALSE;
476ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
477ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (!_cmsEndPointsBySpace(ExitColorSpace,
478ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        &WhitePointOut, NULL, &nOuts)) return FALSE;
479ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
480ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // It needs to be fixed?
481ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (Lut ->InputChannels != nIns) return FALSE;
482ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (Lut ->OutputChannels != nOuts) return FALSE;
483ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
484ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsPipelineEval16(WhitePointIn, ObtainedOut, Lut);
485ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
486ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (WhitesAreEqual(nOuts, WhitePointOut, ObtainedOut)) return TRUE; // whites already match
487ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
488ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Check if the LUT comes as Prelin, CLUT or Postlin. We allow all combinations
489ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (!cmsPipelineCheckAndRetreiveStages(Lut, 3, cmsSigCurveSetElemType, cmsSigCLutElemType, cmsSigCurveSetElemType, &PreLin, &CLUT, &PostLin))
490ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (!cmsPipelineCheckAndRetreiveStages(Lut, 2, cmsSigCurveSetElemType, cmsSigCLutElemType, &PreLin, &CLUT))
491ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            if (!cmsPipelineCheckAndRetreiveStages(Lut, 2, cmsSigCLutElemType, cmsSigCurveSetElemType, &CLUT, &PostLin))
492ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                if (!cmsPipelineCheckAndRetreiveStages(Lut, 1, cmsSigCLutElemType, &CLUT))
493ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                    return FALSE;
494ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
495ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // We need to interpolate white points of both, pre and post curves
496ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (PreLin) {
497ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
498ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        cmsToneCurve** Curves = _cmsStageGetPtrToCurveSet(PreLin);
499ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
500ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        for (i=0; i < nIns; i++) {
501ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            WhiteIn[i] = cmsEvalToneCurve16(Curves[i], WhitePointIn[i]);
502ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
503ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
504ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    else {
505ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        for (i=0; i < nIns; i++)
506ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            WhiteIn[i] = WhitePointIn[i];
507ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
508ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
509ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // If any post-linearization, we need to find how is represented white before the curve, do
510ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // a reverse interpolation in this case.
511ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (PostLin) {
512ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
513ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        cmsToneCurve** Curves = _cmsStageGetPtrToCurveSet(PostLin);
514ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
515ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        for (i=0; i < nOuts; i++) {
516ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
517ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            cmsToneCurve* InversePostLin = cmsReverseToneCurve(Curves[i]);
518ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            if (InversePostLin == NULL) {
519ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                WhiteOut[i] = WhitePointOut[i];
520ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
521ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            } else {
522ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
523ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                WhiteOut[i] = cmsEvalToneCurve16(InversePostLin, WhitePointOut[i]);
524ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                cmsFreeToneCurve(InversePostLin);
525ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            }
526ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
527ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
528ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    else {
529ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        for (i=0; i < nOuts; i++)
530ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            WhiteOut[i] = WhitePointOut[i];
531ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
532ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
533ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Ok, proceed with patching. May fail and we don't care if it fails
534ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    PatchLUT(CLUT, WhiteIn, WhiteOut, nOuts, nIns);
535ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
536ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return TRUE;
537ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
538ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
539ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// -----------------------------------------------------------------------------------------------------------------------------------------------
540ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// This function creates simple LUT from complex ones. The generated LUT has an optional set of
541ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// prelinearization curves, a CLUT of nGridPoints and optional postlinearization tables.
542ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// These curves have to exist in the original LUT in order to be used in the simplified output.
543ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Caller may also use the flags to allow this feature.
544ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// LUTS with all curves will be simplified to a single curve. Parametric curves are lost.
545ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// This function should be used on 16-bits LUTS only, as floating point losses precision when simplified
546ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// -----------------------------------------------------------------------------------------------------------------------------------------------
547ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
548ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
549ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovcmsBool OptimizeByResampling(cmsPipeline** Lut, cmsUInt32Number Intent, cmsUInt32Number* InputFormat, cmsUInt32Number* OutputFormat, cmsUInt32Number* dwFlags)
550ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
551ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsPipeline* Src = NULL;
552ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsPipeline* Dest = NULL;
553ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsStage* mpe;
554ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsStage* CLUT;
555ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsStage *KeepPreLin = NULL, *KeepPostLin = NULL;
556ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int nGridPoints;
557ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsColorSpaceSignature ColorSpace, OutputColorSpace;
558ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsStage *NewPreLin = NULL;
559ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsStage *NewPostLin = NULL;
560ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsStageCLutData* DataCLUT;
561ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsToneCurve** DataSetIn;
562ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsToneCurve** DataSetOut;
563ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Prelin16Data* p16;
564ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
565ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // This is a loosy optimization! does not apply in floating-point cases
566ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (_cmsFormatterIsFloat(*InputFormat) || _cmsFormatterIsFloat(*OutputFormat)) return FALSE;
567ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
568ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    ColorSpace       = _cmsICCcolorSpace(T_COLORSPACE(*InputFormat));
569ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    OutputColorSpace = _cmsICCcolorSpace(T_COLORSPACE(*OutputFormat));
570ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    nGridPoints      = _cmsReasonableGridpointsByColorspace(ColorSpace, *dwFlags);
571ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
572ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // For empty LUTs, 2 points are enough
573ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (cmsPipelineStageCount(*Lut) == 0)
574ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        nGridPoints = 2;
575ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
576ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Src = *Lut;
577ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
578ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Named color pipelines cannot be optimized either
579ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (mpe = cmsPipelineGetPtrToFirstStage(Src);
580ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        mpe != NULL;
581ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        mpe = cmsStageNext(mpe)) {
582ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            if (cmsStageType(mpe) == cmsSigNamedColorElemType) return FALSE;
583ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
584ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
585ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Allocate an empty LUT
586ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Dest =  cmsPipelineAlloc(Src ->ContextID, Src ->InputChannels, Src ->OutputChannels);
587ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (!Dest) return FALSE;
588ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
589ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Prelinearization tables are kept unless indicated by flags
590ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (*dwFlags & cmsFLAGS_CLUT_PRE_LINEARIZATION) {
591ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
592ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // Get a pointer to the prelinearization element
593ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        cmsStage* PreLin = cmsPipelineGetPtrToFirstStage(Src);
594ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
595ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // Check if suitable
596ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (PreLin ->Type == cmsSigCurveSetElemType) {
597ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
598ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            // Maybe this is a linear tram, so we can avoid the whole stuff
599ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            if (!AllCurvesAreLinear(PreLin)) {
600ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
601ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                // All seems ok, proceed.
602ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                NewPreLin = cmsStageDup(PreLin);
603ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                if(!cmsPipelineInsertStage(Dest, cmsAT_BEGIN, NewPreLin))
604ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                    goto Error;
605ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
606ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                // Remove prelinearization. Since we have duplicated the curve
607ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                // in destination LUT, the sampling shoud be applied after this stage.
608ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                cmsPipelineUnlinkStage(Src, cmsAT_BEGIN, &KeepPreLin);
609ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            }
610ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
611ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
612ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
613ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Allocate the CLUT
614ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    CLUT = cmsStageAllocCLut16bit(Src ->ContextID, nGridPoints, Src ->InputChannels, Src->OutputChannels, NULL);
615ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (CLUT == NULL) return FALSE;
616ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
617ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Add the CLUT to the destination LUT
618ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (!cmsPipelineInsertStage(Dest, cmsAT_END, CLUT)) {
619ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        goto Error;
620ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
621ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
622ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Postlinearization tables are kept unless indicated by flags
623ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (*dwFlags & cmsFLAGS_CLUT_POST_LINEARIZATION) {
624ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
625ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // Get a pointer to the postlinearization if present
626ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        cmsStage* PostLin = cmsPipelineGetPtrToLastStage(Src);
627ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
628ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // Check if suitable
629ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (cmsStageType(PostLin) == cmsSigCurveSetElemType) {
630ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
631ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            // Maybe this is a linear tram, so we can avoid the whole stuff
632ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            if (!AllCurvesAreLinear(PostLin)) {
633ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
634ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                // All seems ok, proceed.
635ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                NewPostLin = cmsStageDup(PostLin);
636ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                if (!cmsPipelineInsertStage(Dest, cmsAT_END, NewPostLin))
637ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                    goto Error;
638ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
639ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                // In destination LUT, the sampling shoud be applied after this stage.
640ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                cmsPipelineUnlinkStage(Src, cmsAT_END, &KeepPostLin);
641ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            }
642ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
643ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
644ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
645ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Now its time to do the sampling. We have to ignore pre/post linearization
646ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // The source LUT whithout pre/post curves is passed as parameter.
647ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (!cmsStageSampleCLut16bit(CLUT, XFormSampler16, (void*) Src, 0)) {
648ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovError:
649ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // Ops, something went wrong, Restore stages
650ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (KeepPreLin != NULL) {
651ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            if (!cmsPipelineInsertStage(Src, cmsAT_BEGIN, KeepPreLin)) {
652ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                _cmsAssert(0); // This never happens
653ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            }
654ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
655ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (KeepPostLin != NULL) {
656ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            if (!cmsPipelineInsertStage(Src, cmsAT_END,   KeepPostLin)) {
657ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                _cmsAssert(0); // This never happens
658ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            }
659ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
660ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        cmsPipelineFree(Dest);
661ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        return FALSE;
662ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
663ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
664ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Done.
665ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
666ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (KeepPreLin != NULL) cmsStageFree(KeepPreLin);
667ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (KeepPostLin != NULL) cmsStageFree(KeepPostLin);
668ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsPipelineFree(Src);
669ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
670ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    DataCLUT = (_cmsStageCLutData*) CLUT ->Data;
671ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
672ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (NewPreLin == NULL) DataSetIn = NULL;
673ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    else DataSetIn = ((_cmsStageToneCurvesData*) NewPreLin ->Data) ->TheCurves;
674ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
675ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (NewPostLin == NULL) DataSetOut = NULL;
676ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    else  DataSetOut = ((_cmsStageToneCurvesData*) NewPostLin ->Data) ->TheCurves;
677ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
678ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
679ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (DataSetIn == NULL && DataSetOut == NULL) {
680ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
681ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        _cmsPipelineSetOptimizationParameters(Dest, (_cmsOPTeval16Fn) DataCLUT->Params->Interpolation.Lerp16, DataCLUT->Params, NULL, NULL);
682ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
683ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    else {
684ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
685ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        p16 = PrelinOpt16alloc(Dest ->ContextID,
686ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            DataCLUT ->Params,
687ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            Dest ->InputChannels,
688ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            DataSetIn,
689ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            Dest ->OutputChannels,
690ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            DataSetOut);
691ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
692ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        _cmsPipelineSetOptimizationParameters(Dest, PrelinEval16, (void*) p16, PrelinOpt16free, Prelin16dup);
693ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
694ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
695ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
696ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Don't fix white on absolute colorimetric
697ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (Intent == INTENT_ABSOLUTE_COLORIMETRIC)
698ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        *dwFlags |= cmsFLAGS_NOWHITEONWHITEFIXUP;
699ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
700ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (!(*dwFlags & cmsFLAGS_NOWHITEONWHITEFIXUP)) {
701ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
702ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        FixWhiteMisalignment(Dest, ColorSpace, OutputColorSpace);
703ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
704ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
705ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    *Lut = Dest;
706ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return TRUE;
707ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
708ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUNUSED_PARAMETER(Intent);
709ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
710ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
711ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
712ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// -----------------------------------------------------------------------------------------------------------------------------------------------
713ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Fixes the gamma balancing of transform. This is described in my paper "Prelinearization Stages on
714ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Color-Management Application-Specific Integrated Circuits (ASICs)" presented at NIP24. It only works
715ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// for RGB transforms. See the paper for more details
716ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// -----------------------------------------------------------------------------------------------------------------------------------------------
717ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
718ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
719ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Normalize endpoints by slope limiting max and min. This assures endpoints as well.
720ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Descending curves are handled as well.
721ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
722ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovvoid SlopeLimiting(cmsToneCurve* g)
723ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
724ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int BeginVal, EndVal;
725ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int AtBegin = (int) floor((cmsFloat64Number) g ->nEntries * 0.02 + 0.5);   // Cutoff at 2%
726ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int AtEnd   = g ->nEntries - AtBegin - 1;                                  // And 98%
727ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsFloat64Number Val, Slope, beta;
728ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int i;
729ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
730ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (cmsIsToneCurveDescending(g)) {
731ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        BeginVal = 0xffff; EndVal = 0;
732ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
733ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    else {
734ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        BeginVal = 0; EndVal = 0xffff;
735ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
736ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
737ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Compute slope and offset for begin of curve
738ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Val   = g ->Table16[AtBegin];
739ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Slope = (Val - BeginVal) / AtBegin;
740ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    beta  = Val - Slope * AtBegin;
741ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
742ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < AtBegin; i++)
743ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        g ->Table16[i] = _cmsQuickSaturateWord(i * Slope + beta);
744ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
745ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Compute slope and offset for the end
746ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Val   = g ->Table16[AtEnd];
747ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Slope = (EndVal - Val) / AtBegin;   // AtBegin holds the X interval, which is same in both cases
748ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    beta  = Val - Slope * AtEnd;
749ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
750ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i = AtEnd; i < (int) g ->nEntries; i++)
751ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        g ->Table16[i] = _cmsQuickSaturateWord(i * Slope + beta);
752ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
753ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
754ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
755ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Precomputes tables for 8-bit on input devicelink.
756ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
757ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovPrelin8Data* PrelinOpt8alloc(cmsContext ContextID, const cmsInterpParams* p, cmsToneCurve* G[3])
758ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
759ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int i;
760ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUInt16Number Input[3];
761ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsS15Fixed16Number v1, v2, v3;
762ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Prelin8Data* p8;
763ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
764ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    p8 = (Prelin8Data*)_cmsMallocZero(ContextID, sizeof(Prelin8Data));
765ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (p8 == NULL) return NULL;
766ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
767ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Since this only works for 8 bit input, values comes always as x * 257,
768ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // we can safely take msb byte (x << 8 + x)
769ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
770ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < 256; i++) {
771ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
772ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (G != NULL) {
773ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
774ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            // Get 16-bit representation
775ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            Input[0] = cmsEvalToneCurve16(G[0], FROM_8_TO_16(i));
776ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            Input[1] = cmsEvalToneCurve16(G[1], FROM_8_TO_16(i));
777ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            Input[2] = cmsEvalToneCurve16(G[2], FROM_8_TO_16(i));
778ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
779ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        else {
780ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            Input[0] = FROM_8_TO_16(i);
781ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            Input[1] = FROM_8_TO_16(i);
782ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            Input[2] = FROM_8_TO_16(i);
783ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
784ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
785ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
786ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // Move to 0..1.0 in fixed domain
787ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        v1 = _cmsToFixedDomain(Input[0] * p -> Domain[0]);
788ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        v2 = _cmsToFixedDomain(Input[1] * p -> Domain[1]);
789ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        v3 = _cmsToFixedDomain(Input[2] * p -> Domain[2]);
790ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
791ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // Store the precalculated table of nodes
792ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        p8 ->X0[i] = (p->opta[2] * FIXED_TO_INT(v1));
793ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        p8 ->Y0[i] = (p->opta[1] * FIXED_TO_INT(v2));
794ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        p8 ->Z0[i] = (p->opta[0] * FIXED_TO_INT(v3));
795ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
796ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // Store the precalculated table of offsets
797ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        p8 ->rx[i] = (cmsUInt16Number) FIXED_REST_TO_INT(v1);
798ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        p8 ->ry[i] = (cmsUInt16Number) FIXED_REST_TO_INT(v2);
799ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        p8 ->rz[i] = (cmsUInt16Number) FIXED_REST_TO_INT(v3);
800ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
801ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
802ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    p8 ->ContextID = ContextID;
803ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    p8 ->p = p;
804ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
805ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return p8;
806ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
807ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
808ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
809ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovvoid Prelin8free(cmsContext ContextID, void* ptr)
810ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
811ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsFree(ContextID, ptr);
812ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
813ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
814ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
815ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovvoid* Prelin8dup(cmsContext ContextID, const void* ptr)
816ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
817ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return _cmsDupMem(ContextID, ptr, sizeof(Prelin8Data));
818ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
819ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
820ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
821ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
822ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// A optimized interpolation for 8-bit input.
823ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov#define DENS(i,j,k) (LutTable[(i)+(j)+(k)+OutChan])
824ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
825ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovvoid PrelinEval8(register const cmsUInt16Number Input[],
826ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                  register cmsUInt16Number Output[],
827ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                  register const void* D)
828ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
829ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
830ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUInt8Number         r, g, b;
831ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsS15Fixed16Number    rx, ry, rz;
832ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsS15Fixed16Number    c0, c1, c2, c3, Rest;
833ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int                    OutChan;
834ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    register cmsS15Fixed16Number    X0, X1, Y0, Y1, Z0, Z1;
835ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Prelin8Data* p8 = (Prelin8Data*) D;
836ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    register const cmsInterpParams* p = p8 ->p;
837ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int                    TotalOut = p -> nOutputs;
838ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    const cmsUInt16Number* LutTable = (const cmsUInt16Number*)p -> Table;
839ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
840ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    r = Input[0] >> 8;
841ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    g = Input[1] >> 8;
842ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    b = Input[2] >> 8;
843ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
844ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    X0 = X1 = p8->X0[r];
845ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Y0 = Y1 = p8->Y0[g];
846ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Z0 = Z1 = p8->Z0[b];
847ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
848ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    rx = p8 ->rx[r];
849ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    ry = p8 ->ry[g];
850ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    rz = p8 ->rz[b];
851ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
852ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    X1 = X0 + ((rx == 0) ? 0 : p ->opta[2]);
853ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Y1 = Y0 + ((ry == 0) ? 0 : p ->opta[1]);
854ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Z1 = Z0 + ((rz == 0) ? 0 : p ->opta[0]);
855ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
856ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
857ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // These are the 6 Tetrahedral
858ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (OutChan=0; OutChan < TotalOut; OutChan++) {
859ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
860ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        c0 = DENS(X0, Y0, Z0);
861ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
862ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (rx >= ry && ry >= rz)
863ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        {
864ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            c1 = DENS(X1, Y0, Z0) - c0;
865ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            c2 = DENS(X1, Y1, Z0) - DENS(X1, Y0, Z0);
866ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            c3 = DENS(X1, Y1, Z1) - DENS(X1, Y1, Z0);
867ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
868ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        else
869ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            if (rx >= rz && rz >= ry)
870ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            {
871ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                c1 = DENS(X1, Y0, Z0) - c0;
872ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                c2 = DENS(X1, Y1, Z1) - DENS(X1, Y0, Z1);
873ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                c3 = DENS(X1, Y0, Z1) - DENS(X1, Y0, Z0);
874ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            }
875ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            else
876ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                if (rz >= rx && rx >= ry)
877ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                {
878ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                    c1 = DENS(X1, Y0, Z1) - DENS(X0, Y0, Z1);
879ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                    c2 = DENS(X1, Y1, Z1) - DENS(X1, Y0, Z1);
880ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                    c3 = DENS(X0, Y0, Z1) - c0;
881ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                }
882ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                else
883ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                    if (ry >= rx && rx >= rz)
884ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                    {
885ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                        c1 = DENS(X1, Y1, Z0) - DENS(X0, Y1, Z0);
886ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                        c2 = DENS(X0, Y1, Z0) - c0;
887ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                        c3 = DENS(X1, Y1, Z1) - DENS(X1, Y1, Z0);
888ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                    }
889ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                    else
890ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                        if (ry >= rz && rz >= rx)
891ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                        {
892ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                            c1 = DENS(X1, Y1, Z1) - DENS(X0, Y1, Z1);
893ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                            c2 = DENS(X0, Y1, Z0) - c0;
894ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                            c3 = DENS(X0, Y1, Z1) - DENS(X0, Y1, Z0);
895ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                        }
896ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                        else
897ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                            if (rz >= ry && ry >= rx)
898ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                            {
899ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                                c1 = DENS(X1, Y1, Z1) - DENS(X0, Y1, Z1);
900ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                                c2 = DENS(X0, Y1, Z1) - DENS(X0, Y0, Z1);
901ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                                c3 = DENS(X0, Y0, Z1) - c0;
902ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                            }
903ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                            else  {
904ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                                c1 = c2 = c3 = 0;
905ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                            }
906ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
907ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
908ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                            Rest = c1 * rx + c2 * ry + c3 * rz + 0x8001;
909ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                            Output[OutChan] = (cmsUInt16Number)c0 + ((Rest + (Rest>>16))>>16);
910ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
911ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
912ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
913ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
914ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov#undef DENS
915ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
916ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
917ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Curves that contain wide empty areas are not optimizeable
918ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
919ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovcmsBool IsDegenerated(const cmsToneCurve* g)
920ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
921ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int i, Zeros = 0, Poles = 0;
922ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int nEntries = g ->nEntries;
923ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
924ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < nEntries; i++) {
925ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
926ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (g ->Table16[i] == 0x0000) Zeros++;
927ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (g ->Table16[i] == 0xffff) Poles++;
928ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
929ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
930ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (Zeros == 1 && Poles == 1) return FALSE;  // For linear tables
931ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (Zeros > (nEntries / 4)) return TRUE;  // Degenerated, mostly zeros
932ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (Poles > (nEntries / 4)) return TRUE;  // Degenerated, mostly poles
933ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
934ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return FALSE;
935ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
936ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
937ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// --------------------------------------------------------------------------------------------------------------
938ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// We need xput over here
939ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
940ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
941ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovcmsBool OptimizeByComputingLinearization(cmsPipeline** Lut, cmsUInt32Number Intent, cmsUInt32Number* InputFormat, cmsUInt32Number* OutputFormat, cmsUInt32Number* dwFlags)
942ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
943ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsPipeline* OriginalLut;
944ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int nGridPoints;
945ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsToneCurve *Trans[cmsMAXCHANNELS], *TransReverse[cmsMAXCHANNELS];
946ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUInt32Number t, i;
947ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsFloat32Number v, In[cmsMAXCHANNELS], Out[cmsMAXCHANNELS];
948ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsBool lIsSuitable, lIsLinear;
949ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsPipeline* OptimizedLUT = NULL, *LutPlusCurves = NULL;
950ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsStage* OptimizedCLUTmpe;
951ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsColorSpaceSignature ColorSpace, OutputColorSpace;
952ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsStage* OptimizedPrelinMpe;
953ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsStage* mpe;
954ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsToneCurve**   OptimizedPrelinCurves;
955ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsStageCLutData*     OptimizedPrelinCLUT;
956ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
957ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
958ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // This is a loosy optimization! does not apply in floating-point cases
959ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (_cmsFormatterIsFloat(*InputFormat) || _cmsFormatterIsFloat(*OutputFormat)) return FALSE;
960ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
961ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Only on RGB
962ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (T_COLORSPACE(*InputFormat)  != PT_RGB) return FALSE;
963ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (T_COLORSPACE(*OutputFormat) != PT_RGB) return FALSE;
964ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
965ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
966ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // On 16 bits, user has to specify the feature
967ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (!_cmsFormatterIs8bit(*InputFormat)) {
968ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (!(*dwFlags & cmsFLAGS_CLUT_PRE_LINEARIZATION)) return FALSE;
969ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
970ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
971ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    OriginalLut = *Lut;
972ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
973ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   // Named color pipelines cannot be optimized either
974ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   for (mpe = cmsPipelineGetPtrToFirstStage(OriginalLut);
975ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov         mpe != NULL;
976ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov         mpe = cmsStageNext(mpe)) {
977ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            if (cmsStageType(mpe) == cmsSigNamedColorElemType) return FALSE;
978ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
979ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
980ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    ColorSpace       = _cmsICCcolorSpace(T_COLORSPACE(*InputFormat));
981ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    OutputColorSpace = _cmsICCcolorSpace(T_COLORSPACE(*OutputFormat));
982ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    nGridPoints      = _cmsReasonableGridpointsByColorspace(ColorSpace, *dwFlags);
983ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
984ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Empty gamma containers
985ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    memset(Trans, 0, sizeof(Trans));
986ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    memset(TransReverse, 0, sizeof(TransReverse));
987ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
988ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (t = 0; t < OriginalLut ->InputChannels; t++) {
989ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        Trans[t] = cmsBuildTabulatedToneCurve16(OriginalLut ->ContextID, PRELINEARIZATION_POINTS, NULL);
990ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (Trans[t] == NULL) goto Error;
991ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
992ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
993ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Populate the curves
994ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < PRELINEARIZATION_POINTS; i++) {
995ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
996ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        v = (cmsFloat32Number) ((cmsFloat64Number) i / (PRELINEARIZATION_POINTS - 1));
997ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
998ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // Feed input with a gray ramp
999ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        for (t=0; t < OriginalLut ->InputChannels; t++)
1000ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            In[t] = v;
1001ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1002ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // Evaluate the gray value
1003ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        cmsPipelineEvalFloat(In, Out, OriginalLut);
1004ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1005ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // Store result in curve
1006ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        for (t=0; t < OriginalLut ->InputChannels; t++)
1007ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            Trans[t] ->Table16[i] = _cmsQuickSaturateWord(Out[t] * 65535.0);
1008ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1009ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1010ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Slope-limit the obtained curves
1011ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (t = 0; t < OriginalLut ->InputChannels; t++)
1012ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        SlopeLimiting(Trans[t]);
1013ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1014ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Check for validity
1015ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    lIsSuitable = TRUE;
1016ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    lIsLinear   = TRUE;
1017ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (t=0; (lIsSuitable && (t < OriginalLut ->InputChannels)); t++) {
1018ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1019ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // Exclude if already linear
1020ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (!cmsIsToneCurveLinear(Trans[t]))
1021ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            lIsLinear = FALSE;
1022ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1023ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // Exclude if non-monotonic
1024ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (!cmsIsToneCurveMonotonic(Trans[t]))
1025ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            lIsSuitable = FALSE;
1026ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1027ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (IsDegenerated(Trans[t]))
1028ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            lIsSuitable = FALSE;
1029ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1030ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1031ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // If it is not suitable, just quit
1032ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (!lIsSuitable) goto Error;
1033ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1034ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Invert curves if possible
1035ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (t = 0; t < OriginalLut ->InputChannels; t++) {
1036ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        TransReverse[t] = cmsReverseToneCurveEx(PRELINEARIZATION_POINTS, Trans[t]);
1037ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (TransReverse[t] == NULL) goto Error;
1038ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1039ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1040ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Now inset the reversed curves at the begin of transform
1041ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    LutPlusCurves = cmsPipelineDup(OriginalLut);
1042ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (LutPlusCurves == NULL) goto Error;
1043ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1044ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (!cmsPipelineInsertStage(LutPlusCurves, cmsAT_BEGIN, cmsStageAllocToneCurves(OriginalLut ->ContextID, OriginalLut ->InputChannels, TransReverse)))
1045ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        goto Error;
1046ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1047ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Create the result LUT
1048ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    OptimizedLUT = cmsPipelineAlloc(OriginalLut ->ContextID, OriginalLut ->InputChannels, OriginalLut ->OutputChannels);
1049ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (OptimizedLUT == NULL) goto Error;
1050ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1051ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    OptimizedPrelinMpe = cmsStageAllocToneCurves(OriginalLut ->ContextID, OriginalLut ->InputChannels, Trans);
1052ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1053ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Create and insert the curves at the beginning
1054ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (!cmsPipelineInsertStage(OptimizedLUT, cmsAT_BEGIN, OptimizedPrelinMpe))
1055ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        goto Error;
1056ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1057ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Allocate the CLUT for result
1058ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    OptimizedCLUTmpe = cmsStageAllocCLut16bit(OriginalLut ->ContextID, nGridPoints, OriginalLut ->InputChannels, OriginalLut ->OutputChannels, NULL);
1059ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1060ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Add the CLUT to the destination LUT
1061ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (!cmsPipelineInsertStage(OptimizedLUT, cmsAT_END, OptimizedCLUTmpe))
1062ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        goto Error;
1063ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1064ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Resample the LUT
1065ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (!cmsStageSampleCLut16bit(OptimizedCLUTmpe, XFormSampler16, (void*) LutPlusCurves, 0)) goto Error;
1066ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1067ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Free resources
1068ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (t = 0; t < OriginalLut ->InputChannels; t++) {
1069ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1070ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (Trans[t]) cmsFreeToneCurve(Trans[t]);
1071ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (TransReverse[t]) cmsFreeToneCurve(TransReverse[t]);
1072ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1073ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1074ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsPipelineFree(LutPlusCurves);
1075ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1076ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1077ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    OptimizedPrelinCurves = _cmsStageGetPtrToCurveSet(OptimizedPrelinMpe);
1078ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    OptimizedPrelinCLUT   = (_cmsStageCLutData*) OptimizedCLUTmpe ->Data;
1079ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1080ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Set the evaluator if 8-bit
1081ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (_cmsFormatterIs8bit(*InputFormat)) {
1082ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1083ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        Prelin8Data* p8 = PrelinOpt8alloc(OptimizedLUT ->ContextID,
1084ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                                                OptimizedPrelinCLUT ->Params,
1085ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                                                OptimizedPrelinCurves);
1086ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (p8 == NULL) return FALSE;
1087ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1088ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        _cmsPipelineSetOptimizationParameters(OptimizedLUT, PrelinEval8, (void*) p8, Prelin8free, Prelin8dup);
1089ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1090ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1091ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    else
1092ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    {
1093ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        Prelin16Data* p16 = PrelinOpt16alloc(OptimizedLUT ->ContextID,
1094ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            OptimizedPrelinCLUT ->Params,
1095ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            3, OptimizedPrelinCurves, 3, NULL);
1096ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (p16 == NULL) return FALSE;
1097ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1098ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        _cmsPipelineSetOptimizationParameters(OptimizedLUT, PrelinEval16, (void*) p16, PrelinOpt16free, Prelin16dup);
1099ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1100ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1101ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1102ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Don't fix white on absolute colorimetric
1103ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (Intent == INTENT_ABSOLUTE_COLORIMETRIC)
1104ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        *dwFlags |= cmsFLAGS_NOWHITEONWHITEFIXUP;
1105ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1106ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (!(*dwFlags & cmsFLAGS_NOWHITEONWHITEFIXUP)) {
1107ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1108ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (!FixWhiteMisalignment(OptimizedLUT, ColorSpace, OutputColorSpace)) {
1109ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1110ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            return FALSE;
1111ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
1112ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1113ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1114ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // And return the obtained LUT
1115ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1116ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsPipelineFree(OriginalLut);
1117ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    *Lut = OptimizedLUT;
1118ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return TRUE;
1119ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1120ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovError:
1121ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1122ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (t = 0; t < OriginalLut ->InputChannels; t++) {
1123ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1124ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (Trans[t]) cmsFreeToneCurve(Trans[t]);
1125ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (TransReverse[t]) cmsFreeToneCurve(TransReverse[t]);
1126ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1127ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1128ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (LutPlusCurves != NULL) cmsPipelineFree(LutPlusCurves);
1129ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (OptimizedLUT != NULL) cmsPipelineFree(OptimizedLUT);
1130ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1131ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return FALSE;
1132ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1133ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUNUSED_PARAMETER(Intent);
1134ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
1135ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1136ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1137ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Curves optimizer ------------------------------------------------------------------------------------------------------------------
1138ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1139ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
1140ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovvoid CurvesFree(cmsContext ContextID, void* ptr)
1141ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
1142ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov     Curves16Data* Data = (Curves16Data*) ptr;
1143ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov     int i;
1144ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1145ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov     for (i=0; i < Data -> nCurves; i++) {
1146ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1147ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov         _cmsFree(ContextID, Data ->Curves[i]);
1148ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov     }
1149ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1150ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov     _cmsFree(ContextID, Data ->Curves);
1151ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov     _cmsFree(ContextID, ptr);
1152ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
1153ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1154ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
1155ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovvoid* CurvesDup(cmsContext ContextID, const void* ptr)
1156ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
1157ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Curves16Data* Data = (Curves16Data*)_cmsDupMem(ContextID, ptr, sizeof(Curves16Data));
1158ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int i;
1159ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1160ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (Data == NULL) return NULL;
1161ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1162ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Data ->Curves = (cmsUInt16Number**)_cmsDupMem(ContextID, Data ->Curves, Data ->nCurves * sizeof(cmsUInt16Number*));
1163ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1164ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < Data -> nCurves; i++) {
1165ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        Data ->Curves[i] = (cmsUInt16Number*)_cmsDupMem(ContextID, Data ->Curves[i], Data -> nElements * sizeof(cmsUInt16Number));
1166ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1167ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1168ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return (void*) Data;
1169ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
1170ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1171ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Precomputes tables for 8-bit on input devicelink.
1172ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
1173ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovCurves16Data* CurvesAlloc(cmsContext ContextID, int nCurves, int nElements, cmsToneCurve** G)
1174ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
1175ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int i, j;
1176ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Curves16Data* c16;
1177ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1178ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    c16 = (Curves16Data*)_cmsMallocZero(ContextID, sizeof(Curves16Data));
1179ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (c16 == NULL) return NULL;
1180ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1181ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    c16 ->nCurves = nCurves;
1182ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    c16 ->nElements = nElements;
1183ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1184ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    c16 ->Curves = (cmsUInt16Number**)_cmsCalloc(ContextID, nCurves, sizeof(cmsUInt16Number*));
1185ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (c16 ->Curves == NULL) return NULL;
1186ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1187ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < nCurves; i++) {
1188ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1189ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        c16->Curves[i] = (cmsUInt16Number*)_cmsCalloc(ContextID, nElements, sizeof(cmsUInt16Number));
1190ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1191ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (c16->Curves[i] == NULL) {
1192ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1193ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            for (j=0; j < i; j++) {
1194ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                _cmsFree(ContextID, c16->Curves[j]);
1195ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            }
1196ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            _cmsFree(ContextID, c16->Curves);
1197ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            _cmsFree(ContextID, c16);
1198ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            return NULL;
1199ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
1200ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1201ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (nElements == 256) {
1202ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1203ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            for (j=0; j < nElements; j++) {
1204ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1205ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                c16 ->Curves[i][j] = cmsEvalToneCurve16(G[i], FROM_8_TO_16(j));
1206ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            }
1207ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
1208ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        else {
1209ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1210ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            for (j=0; j < nElements; j++) {
1211ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                c16 ->Curves[i][j] = cmsEvalToneCurve16(G[i], (cmsUInt16Number) j);
1212ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            }
1213ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
1214ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1215ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1216ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return c16;
1217ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
1218ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1219ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
1220ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovvoid FastEvaluateCurves8(register const cmsUInt16Number In[],
1221ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                          register cmsUInt16Number Out[],
1222ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                          register const void* D)
1223ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
1224ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Curves16Data* Data = (Curves16Data*) D;
1225ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUInt8Number x;
1226ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int i;
1227ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1228ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < Data ->nCurves; i++) {
1229ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1230ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov         x = (In[i] >> 8);
1231ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov         Out[i] = Data -> Curves[i][x];
1232ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1233ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
1234ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1235ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1236ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
1237ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovvoid FastEvaluateCurves16(register const cmsUInt16Number In[],
1238ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                          register cmsUInt16Number Out[],
1239ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                          register const void* D)
1240ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
1241ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Curves16Data* Data = (Curves16Data*) D;
1242ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int i;
1243ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1244ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < Data ->nCurves; i++) {
1245ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov         Out[i] = Data -> Curves[i][In[i]];
1246ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1247ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
1248ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1249ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1250ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
1251ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovvoid FastIdentity16(register const cmsUInt16Number In[],
1252ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                    register cmsUInt16Number Out[],
1253ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                    register const void* D)
1254ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
1255ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsPipeline* Lut = (cmsPipeline*) D;
1256ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUInt32Number i;
1257ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1258ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < Lut ->InputChannels; i++) {
1259ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov         Out[i] = In[i];
1260ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1261ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
1262ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1263ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1264ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// If the target LUT holds only curves, the optimization procedure is to join all those
1265ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// curves together. That only works on curves and does not work on matrices.
1266ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
1267ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovcmsBool OptimizeByJoiningCurves(cmsPipeline** Lut, cmsUInt32Number Intent, cmsUInt32Number* InputFormat, cmsUInt32Number* OutputFormat, cmsUInt32Number* dwFlags)
1268ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
1269ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsToneCurve** GammaTables = NULL;
1270ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsFloat32Number InFloat[cmsMAXCHANNELS], OutFloat[cmsMAXCHANNELS];
1271ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUInt32Number i, j;
1272ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsPipeline* Src = *Lut;
1273ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsPipeline* Dest = NULL;
1274ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsStage* mpe;
1275ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsStage* ObtainedCurves = NULL;
1276ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1277ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1278ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // This is a loosy optimization! does not apply in floating-point cases
1279ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (_cmsFormatterIsFloat(*InputFormat) || _cmsFormatterIsFloat(*OutputFormat)) return FALSE;
1280ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1281ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    //  Only curves in this LUT?
1282ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (mpe = cmsPipelineGetPtrToFirstStage(Src);
1283ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov         mpe != NULL;
1284ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov         mpe = cmsStageNext(mpe)) {
1285ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            if (cmsStageType(mpe) != cmsSigCurveSetElemType) return FALSE;
1286ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1287ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1288ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Allocate an empty LUT
1289ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Dest =  cmsPipelineAlloc(Src ->ContextID, Src ->InputChannels, Src ->OutputChannels);
1290ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (Dest == NULL) return FALSE;
1291ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1292ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Create target curves
1293ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    GammaTables = (cmsToneCurve**) _cmsCalloc(Src ->ContextID, Src ->InputChannels, sizeof(cmsToneCurve*));
1294ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (GammaTables == NULL) goto Error;
1295ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1296ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < Src ->InputChannels; i++) {
1297ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        GammaTables[i] = cmsBuildTabulatedToneCurve16(Src ->ContextID, PRELINEARIZATION_POINTS, NULL);
1298ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (GammaTables[i] == NULL) goto Error;
1299ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1300ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1301ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Compute 16 bit result by using floating point
1302ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < PRELINEARIZATION_POINTS; i++) {
1303ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1304ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        for (j=0; j < Src ->InputChannels; j++)
1305ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            InFloat[j] = (cmsFloat32Number) ((cmsFloat64Number) i / (PRELINEARIZATION_POINTS - 1));
1306ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1307ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        cmsPipelineEvalFloat(InFloat, OutFloat, Src);
1308ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1309ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        for (j=0; j < Src ->InputChannels; j++)
1310ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            GammaTables[j] -> Table16[i] = _cmsQuickSaturateWord(OutFloat[j] * 65535.0);
1311ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1312ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1313ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    ObtainedCurves = cmsStageAllocToneCurves(Src ->ContextID, Src ->InputChannels, GammaTables);
1314ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (ObtainedCurves == NULL) goto Error;
1315ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1316ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < Src ->InputChannels; i++) {
1317ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        cmsFreeToneCurve(GammaTables[i]);
1318ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        GammaTables[i] = NULL;
1319ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1320ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1321ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (GammaTables != NULL) _cmsFree(Src ->ContextID, GammaTables);
1322ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1323ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Maybe the curves are linear at the end
1324ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (!AllCurvesAreLinear(ObtainedCurves)) {
1325ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1326ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (!cmsPipelineInsertStage(Dest, cmsAT_BEGIN, ObtainedCurves))
1327ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            goto Error;
1328ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1329ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // If the curves are to be applied in 8 bits, we can save memory
1330ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (_cmsFormatterIs8bit(*InputFormat)) {
1331ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1332ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            _cmsStageToneCurvesData* Data = (_cmsStageToneCurvesData*) ObtainedCurves ->Data;
1333ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov             Curves16Data* c16 = CurvesAlloc(Dest ->ContextID, Data ->nCurves, 256, Data ->TheCurves);
1334ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1335ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov             if (c16 == NULL) goto Error;
1336ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov             *dwFlags |= cmsFLAGS_NOCACHE;
1337ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            _cmsPipelineSetOptimizationParameters(Dest, FastEvaluateCurves8, c16, CurvesFree, CurvesDup);
1338ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1339ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
1340ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        else {
1341ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1342ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            _cmsStageToneCurvesData* Data = (_cmsStageToneCurvesData*) cmsStageData(ObtainedCurves);
1343ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov             Curves16Data* c16 = CurvesAlloc(Dest ->ContextID, Data ->nCurves, 65536, Data ->TheCurves);
1344ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1345ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov             if (c16 == NULL) goto Error;
1346ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov             *dwFlags |= cmsFLAGS_NOCACHE;
1347ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            _cmsPipelineSetOptimizationParameters(Dest, FastEvaluateCurves16, c16, CurvesFree, CurvesDup);
1348ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
1349ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1350ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    else {
1351ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1352ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // LUT optimizes to nothing. Set the identity LUT
1353ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        cmsStageFree(ObtainedCurves);
1354ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1355ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (!cmsPipelineInsertStage(Dest, cmsAT_BEGIN, cmsStageAllocIdentity(Dest ->ContextID, Src ->InputChannels)))
1356ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            goto Error;
1357ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1358ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        *dwFlags |= cmsFLAGS_NOCACHE;
1359ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        _cmsPipelineSetOptimizationParameters(Dest, FastIdentity16, (void*) Dest, NULL, NULL);
1360ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1361ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1362ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // We are done.
1363ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsPipelineFree(Src);
1364ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    *Lut = Dest;
1365ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return TRUE;
1366ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1367ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovError:
1368ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1369ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (ObtainedCurves != NULL) cmsStageFree(ObtainedCurves);
1370ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (GammaTables != NULL) {
1371ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        for (i=0; i < Src ->InputChannels; i++) {
1372ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            if (GammaTables[i] != NULL) cmsFreeToneCurve(GammaTables[i]);
1373ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
1374ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1375ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        _cmsFree(Src ->ContextID, GammaTables);
1376ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1377ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1378ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (Dest != NULL) cmsPipelineFree(Dest);
1379ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return FALSE;
1380ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1381ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUNUSED_PARAMETER(Intent);
1382ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUNUSED_PARAMETER(InputFormat);
1383ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUNUSED_PARAMETER(OutputFormat);
1384ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUNUSED_PARAMETER(dwFlags);
1385ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
1386ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1387ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// -------------------------------------------------------------------------------------------------------------------------------------
1388ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// LUT is Shaper - Matrix - Matrix - Shaper, which is very frequent when combining two matrix-shaper profiles
1389ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1390ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1391ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
1392ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovvoid  FreeMatShaper(cmsContext ContextID, void* Data)
1393ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
1394ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (Data != NULL) _cmsFree(ContextID, Data);
1395ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
1396ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1397ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
1398ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovvoid* DupMatShaper(cmsContext ContextID, const void* Data)
1399ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
1400ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return _cmsDupMem(ContextID, Data, sizeof(MatShaper8Data));
1401ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
1402ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1403ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1404ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// A fast matrix-shaper evaluator for 8 bits. This is a bit ticky since I'm using 1.14 signed fixed point
1405ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// to accomplish some performance. Actually it takes 256x3 16 bits tables and 16385 x 3 tables of 8 bits,
1406ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// in total about 50K, and the performance boost is huge!
1407ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
1408ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovvoid MatShaperEval16(register const cmsUInt16Number In[],
1409ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                     register cmsUInt16Number Out[],
1410ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                     register const void* D)
1411ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
1412ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    MatShaper8Data* p = (MatShaper8Data*) D;
1413ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsS1Fixed14Number l1, l2, l3, r, g, b;
1414ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsUInt32Number ri, gi, bi;
1415ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1416ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // In this case (and only in this case!) we can use this simplification since
1417ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // In[] is assured to come from a 8 bit number. (a << 8 | a)
1418ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    ri = In[0] & 0xFF;
1419ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    gi = In[1] & 0xFF;
1420ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    bi = In[2] & 0xFF;
1421ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1422ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Across first shaper, which also converts to 1.14 fixed point
1423ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    r = p->Shaper1R[ri];
1424ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    g = p->Shaper1G[gi];
1425ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    b = p->Shaper1B[bi];
1426ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1427ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Evaluate the matrix in 1.14 fixed point
1428ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    l1 =  (p->Mat[0][0] * r + p->Mat[0][1] * g + p->Mat[0][2] * b + p->Off[0] + 0x2000) >> 14;
1429ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    l2 =  (p->Mat[1][0] * r + p->Mat[1][1] * g + p->Mat[1][2] * b + p->Off[1] + 0x2000) >> 14;
1430ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    l3 =  (p->Mat[2][0] * r + p->Mat[2][1] * g + p->Mat[2][2] * b + p->Off[2] + 0x2000) >> 14;
1431ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1432ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Now we have to clip to 0..1.0 range
1433ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    ri = (l1 < 0) ? 0 : ((l1 > 16384) ? 16384 : l1);
1434ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    gi = (l2 < 0) ? 0 : ((l2 > 16384) ? 16384 : l2);
1435ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    bi = (l3 < 0) ? 0 : ((l3 > 16384) ? 16384 : l3);
1436ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1437ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // And across second shaper,
1438ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Out[0] = p->Shaper2R[ri];
1439ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Out[1] = p->Shaper2G[gi];
1440ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Out[2] = p->Shaper2B[bi];
1441ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1442ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
1443ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1444ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// This table converts from 8 bits to 1.14 after applying the curve
1445ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
1446ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovvoid FillFirstShaper(cmsS1Fixed14Number* Table, cmsToneCurve* Curve)
1447ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
1448ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int i;
1449ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsFloat32Number R, y;
1450ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1451ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < 256; i++) {
1452ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1453ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        R   = (cmsFloat32Number) (i / 255.0);
1454ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        y   = cmsEvalToneCurveFloat(Curve, R);
1455ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1456ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        Table[i] = DOUBLE_TO_1FIXED14(y);
1457ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1458ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
1459ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1460ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// This table converts form 1.14 (being 0x4000 the last entry) to 8 bits after applying the curve
1461ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
1462ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovvoid FillSecondShaper(cmsUInt16Number* Table, cmsToneCurve* Curve, cmsBool Is8BitsOutput)
1463ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
1464ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int i;
1465ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsFloat32Number R, Val;
1466ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1467ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < 16385; i++) {
1468ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1469ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        R   = (cmsFloat32Number) (i / 16384.0);
1470ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        Val = cmsEvalToneCurveFloat(Curve, R);    // Val comes 0..1.0
1471ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1472ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (Is8BitsOutput) {
1473ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1474ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            // If 8 bits output, we can optimize further by computing the / 257 part.
1475ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            // first we compute the resulting byte and then we store the byte times
1476ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            // 257. This quantization allows to round very quick by doing a >> 8, but
1477ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            // since the low byte is always equal to msb, we can do a & 0xff and this works!
1478ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            cmsUInt16Number w = _cmsQuickSaturateWord(Val * 65535.0);
1479ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            cmsUInt8Number  b = FROM_16_TO_8(w);
1480ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1481ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            Table[i] = FROM_8_TO_16(b);
1482ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
1483ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        else Table[i]  = _cmsQuickSaturateWord(Val * 65535.0);
1484ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1485ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
1486ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1487ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Compute the matrix-shaper structure
1488ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
1489ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovcmsBool SetMatShaper(cmsPipeline* Dest, cmsToneCurve* Curve1[3], cmsMAT3* Mat, cmsVEC3* Off, cmsToneCurve* Curve2[3], cmsUInt32Number* OutputFormat)
1490ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
1491ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    MatShaper8Data* p;
1492ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    int i, j;
1493ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsBool Is8Bits = _cmsFormatterIs8bit(*OutputFormat);
1494ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1495ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Allocate a big chuck of memory to store precomputed tables
1496ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    p = (MatShaper8Data*) _cmsMalloc(Dest ->ContextID, sizeof(MatShaper8Data));
1497ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (p == NULL) return FALSE;
1498ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1499ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    p -> ContextID = Dest -> ContextID;
1500ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1501ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Precompute tables
1502ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    FillFirstShaper(p ->Shaper1R, Curve1[0]);
1503ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    FillFirstShaper(p ->Shaper1G, Curve1[1]);
1504ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    FillFirstShaper(p ->Shaper1B, Curve1[2]);
1505ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1506ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    FillSecondShaper(p ->Shaper2R, Curve2[0], Is8Bits);
1507ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    FillSecondShaper(p ->Shaper2G, Curve2[1], Is8Bits);
1508ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    FillSecondShaper(p ->Shaper2B, Curve2[2], Is8Bits);
1509ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1510ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Convert matrix to nFixed14. Note that those values may take more than 16 bits as
1511ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < 3; i++) {
1512ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        for (j=0; j < 3; j++) {
1513ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            p ->Mat[i][j] = DOUBLE_TO_1FIXED14(Mat->v[i].n[j]);
1514ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
1515ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1516ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1517ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (i=0; i < 3; i++) {
1518ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1519ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (Off == NULL) {
1520ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            p ->Off[i] = 0;
1521ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
1522ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        else {
1523ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            p ->Off[i] = DOUBLE_TO_1FIXED14(Off->n[i]);
1524ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        }
1525ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1526ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1527ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Mark as optimized for faster formatter
1528ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (Is8Bits)
1529ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        *OutputFormat |= OPTIMIZED_SH(1);
1530ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1531ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Fill function pointers
1532ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsPipelineSetOptimizationParameters(Dest, MatShaperEval16, (void*) p, FreeMatShaper, DupMatShaper);
1533ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return TRUE;
1534ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
1535ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1536ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov//  8 bits on input allows matrix-shaper boot up to 25 Mpixels per second on RGB. That's fast!
1537ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// TODO: Allow a third matrix for abs. colorimetric
1538ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
1539ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovcmsBool OptimizeMatrixShaper(cmsPipeline** Lut, cmsUInt32Number Intent, cmsUInt32Number* InputFormat, cmsUInt32Number* OutputFormat, cmsUInt32Number* dwFlags)
1540ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
1541ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsStage* Curve1, *Curve2;
1542ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsStage* Matrix1, *Matrix2;
1543ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsStageMatrixData* Data1;
1544ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsStageMatrixData* Data2;
1545ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsMAT3 res;
1546ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsBool IdentityMat;
1547ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsPipeline* Dest, *Src;
1548ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1549ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Only works on RGB to RGB
1550ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (T_CHANNELS(*InputFormat) != 3 || T_CHANNELS(*OutputFormat) != 3) return FALSE;
1551ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1552ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Only works on 8 bit input
1553ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (!_cmsFormatterIs8bit(*InputFormat)) return FALSE;
1554ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1555ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Seems suitable, proceed
1556ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Src = *Lut;
1557ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1558ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Check for shaper-matrix-matrix-shaper structure, that is what this optimizer stands for
1559ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (!cmsPipelineCheckAndRetreiveStages(Src, 4,
1560ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        cmsSigCurveSetElemType, cmsSigMatrixElemType, cmsSigMatrixElemType, cmsSigCurveSetElemType,
1561ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        &Curve1, &Matrix1, &Matrix2, &Curve2)) return FALSE;
1562ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1563ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Get both matrices
1564ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Data1 = (_cmsStageMatrixData*) cmsStageData(Matrix1);
1565ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Data2 = (_cmsStageMatrixData*) cmsStageData(Matrix2);
1566ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1567ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Input offset should be zero
1568ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (Data1 ->Offset != NULL) return FALSE;
1569ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1570ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Multiply both matrices to get the result
1571ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsMAT3per(&res, (cmsMAT3*) Data2 ->Double, (cmsMAT3*) Data1 ->Double);
1572ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1573ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Now the result is in res + Data2 -> Offset. Maybe is a plain identity?
1574ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    IdentityMat = FALSE;
1575ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (_cmsMAT3isIdentity(&res) && Data2 ->Offset == NULL) {
1576ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1577ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // We can get rid of full matrix
1578ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        IdentityMat = TRUE;
1579ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1580ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1581ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      // Allocate an empty LUT
1582ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    Dest =  cmsPipelineAlloc(Src ->ContextID, Src ->InputChannels, Src ->OutputChannels);
1583ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (!Dest) return FALSE;
1584ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1585ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Assamble the new LUT
1586ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (!cmsPipelineInsertStage(Dest, cmsAT_BEGIN, cmsStageDup(Curve1)))
1587ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        goto Error;
1588ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1589ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (!IdentityMat)
1590ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        if (!cmsPipelineInsertStage(Dest, cmsAT_END, cmsStageAllocMatrix(Dest ->ContextID, 3, 3, (const cmsFloat64Number*) &res, Data2 ->Offset)))
1591ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            goto Error;
1592ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (!cmsPipelineInsertStage(Dest, cmsAT_END, cmsStageDup(Curve2)))
1593ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        goto Error;
1594ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1595ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // If identity on matrix, we can further optimize the curves, so call the join curves routine
1596ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (IdentityMat) {
1597ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1598ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        OptimizeByJoiningCurves(&Dest, Intent, InputFormat, OutputFormat, dwFlags);
1599ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1600ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    else {
1601ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        _cmsStageToneCurvesData* mpeC1 = (_cmsStageToneCurvesData*) cmsStageData(Curve1);
1602ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        _cmsStageToneCurvesData* mpeC2 = (_cmsStageToneCurvesData*) cmsStageData(Curve2);
1603ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1604ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // In this particular optimization, cach?does not help as it takes more time to deal with
1605ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // the cach?that with the pixel handling
1606ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        *dwFlags |= cmsFLAGS_NOCACHE;
1607ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1608ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // Setup the optimizarion routines
1609ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        SetMatShaper(Dest, mpeC1 ->TheCurves, &res, (cmsVEC3*) Data2 ->Offset, mpeC2->TheCurves, OutputFormat);
1610ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1611ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1612ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsPipelineFree(Src);
1613ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    *Lut = Dest;
1614ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return TRUE;
1615ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovError:
1616ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Leave Src unchanged
1617ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsPipelineFree(Dest);
1618ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return FALSE;
1619ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
1620ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1621ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1622ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// -------------------------------------------------------------------------------------------------------------------------------------
1623ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Optimization plug-ins
1624ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1625ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// List of optimizations
1626ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovtypedef struct _cmsOptimizationCollection_st {
1627ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1628ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsOPToptimizeFn  OptimizePtr;
1629ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1630ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    struct _cmsOptimizationCollection_st *Next;
1631ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1632ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov} _cmsOptimizationCollection;
1633ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1634ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1635ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// The built-in list. We currently implement 4 types of optimizations. Joining of curves, matrix-shaper, linearization and resampling
1636ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic _cmsOptimizationCollection DefaultOptimization[] = {
1637ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1638ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    { OptimizeByJoiningCurves,            &DefaultOptimization[1] },
1639ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    { OptimizeMatrixShaper,               &DefaultOptimization[2] },
1640ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    { OptimizeByComputingLinearization,   &DefaultOptimization[3] },
1641ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    { OptimizeByResampling,               NULL }
1642ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov};
1643ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1644ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// The linked list head
1645ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov_cmsOptimizationPluginChunkType _cmsOptimizationPluginChunk = { NULL };
1646ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1647ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1648ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Duplicates the zone of memory used by the plug-in in the new context
1649ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstatic
1650ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovvoid DupPluginOptimizationList(struct _cmsContext_struct* ctx,
1651ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                               const struct _cmsContext_struct* src)
1652ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
1653ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   _cmsOptimizationPluginChunkType newHead = { NULL };
1654ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   _cmsOptimizationCollection*  entry;
1655ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   _cmsOptimizationCollection*  Anterior = NULL;
1656ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   _cmsOptimizationPluginChunkType* head = (_cmsOptimizationPluginChunkType*) src->chunks[OptimizationPlugin];
1657ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1658ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsAssert(ctx != NULL);
1659ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsAssert(head != NULL);
1660ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1661ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Walk the list copying all nodes
1662ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   for (entry = head->OptimizationCollection;
1663ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        entry != NULL;
1664ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        entry = entry ->Next) {
1665ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1666ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            _cmsOptimizationCollection *newEntry = ( _cmsOptimizationCollection *) _cmsSubAllocDup(ctx ->MemPool, entry, sizeof(_cmsOptimizationCollection));
1667ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1668ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            if (newEntry == NULL)
1669ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                return;
1670ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1671ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            // We want to keep the linked list order, so this is a little bit tricky
1672ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            newEntry -> Next = NULL;
1673ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            if (Anterior)
1674ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                Anterior -> Next = newEntry;
1675ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1676ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            Anterior = newEntry;
1677ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1678ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            if (newHead.OptimizationCollection == NULL)
1679ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                newHead.OptimizationCollection = newEntry;
1680ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1681ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1682ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  ctx ->chunks[OptimizationPlugin] = _cmsSubAllocDup(ctx->MemPool, &newHead, sizeof(_cmsOptimizationPluginChunkType));
1683ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
1684ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1685ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovvoid  _cmsAllocOptimizationPluginChunk(struct _cmsContext_struct* ctx,
1686ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                                         const struct _cmsContext_struct* src)
1687ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
1688ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  if (src != NULL) {
1689ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1690ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        // Copy all linked list
1691ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov       DupPluginOptimizationList(ctx, src);
1692ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1693ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    else {
1694ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        static _cmsOptimizationPluginChunkType OptimizationPluginChunkType = { NULL };
1695ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        ctx ->chunks[OptimizationPlugin] = _cmsSubAllocDup(ctx ->MemPool, &OptimizationPluginChunkType, sizeof(_cmsOptimizationPluginChunkType));
1696ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1697ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
1698ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1699ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1700ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// Register new ways to optimize
1701ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovcmsBool  _cmsRegisterOptimizationPlugin(cmsContext ContextID, cmsPluginBase* Data)
1702ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
1703ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsPluginOptimization* Plugin = (cmsPluginOptimization*) Data;
1704ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsOptimizationPluginChunkType* ctx = ( _cmsOptimizationPluginChunkType*) _cmsContextGetClientChunk(ContextID, OptimizationPlugin);
1705ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsOptimizationCollection* fl;
1706ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1707ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (Data == NULL) {
1708ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1709ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        ctx->OptimizationCollection = NULL;
1710ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        return TRUE;
1711ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1712ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1713ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Optimizer callback is required
1714ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (Plugin ->OptimizePtr == NULL) return FALSE;
1715ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1716ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    fl = (_cmsOptimizationCollection*) _cmsPluginMalloc(ContextID, sizeof(_cmsOptimizationCollection));
1717ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (fl == NULL) return FALSE;
1718ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1719ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Copy the parameters
1720ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    fl ->OptimizePtr = Plugin ->OptimizePtr;
1721ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1722ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Keep linked list
1723ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    fl ->Next = ctx->OptimizationCollection;
1724ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1725ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Set the head
1726ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    ctx ->OptimizationCollection = fl;
1727ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1728ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // All is ok
1729ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return TRUE;
1730ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
1731ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1732ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov// The entry point for LUT optimization
1733ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovcmsBool _cmsOptimizePipeline(cmsContext ContextID,
1734ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                             cmsPipeline**    PtrLut,
1735ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                             int              Intent,
1736ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                             cmsUInt32Number* InputFormat,
1737ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                             cmsUInt32Number* OutputFormat,
1738ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                             cmsUInt32Number* dwFlags)
1739ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
1740ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsOptimizationPluginChunkType* ctx = ( _cmsOptimizationPluginChunkType*) _cmsContextGetClientChunk(ContextID, OptimizationPlugin);
1741ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    _cmsOptimizationCollection* Opts;
1742ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    cmsBool AnySuccess = FALSE;
1743ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1744ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // A CLUT is being asked, so force this specific optimization
1745ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (*dwFlags & cmsFLAGS_FORCE_CLUT) {
1746ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1747ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        PreOptimize(*PtrLut);
1748ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        return OptimizeByResampling(PtrLut, Intent, InputFormat, OutputFormat, dwFlags);
1749ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1750ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1751ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Anything to optimize?
1752ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if ((*PtrLut) ->Elements == NULL) {
1753ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        _cmsPipelineSetOptimizationParameters(*PtrLut, FastIdentity16, (void*) *PtrLut, NULL, NULL);
1754ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        return TRUE;
1755ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1756ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1757ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Try to get rid of identities and trivial conversions.
1758ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    AnySuccess = PreOptimize(*PtrLut);
1759ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1760ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // After removal do we end with an identity?
1761ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if ((*PtrLut) ->Elements == NULL) {
1762ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        _cmsPipelineSetOptimizationParameters(*PtrLut, FastIdentity16, (void*) *PtrLut, NULL, NULL);
1763ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        return TRUE;
1764ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1765ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1766ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Do not optimize, keep all precision
1767ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (*dwFlags & cmsFLAGS_NOOPTIMIZE)
1768ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov        return FALSE;
1769ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1770ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Try plug-in optimizations
1771ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (Opts = ctx->OptimizationCollection;
1772ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov         Opts != NULL;
1773ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov         Opts = Opts ->Next) {
1774ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1775ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            // If one schema succeeded, we are done
1776ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            if (Opts ->OptimizePtr(PtrLut, Intent, InputFormat, OutputFormat, dwFlags)) {
1777ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1778ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                return TRUE;    // Optimized!
1779ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            }
1780ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1781ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1782ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   // Try built-in optimizations
1783ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (Opts = DefaultOptimization;
1784ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov         Opts != NULL;
1785ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov         Opts = Opts ->Next) {
1786ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1787ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            if (Opts ->OptimizePtr(PtrLut, Intent, InputFormat, OutputFormat, dwFlags)) {
1788ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1789ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov                return TRUE;
1790ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov            }
1791ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
1792ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
1793ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    // Only simple optimizations succeeded
1794ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    return AnySuccess;
1795ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
1796