1ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov#if !defined(_FX_JPEG_TURBO_)
2ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov/*
3ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * jcsample.c
4ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov *
5ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * Copyright (C) 1991-1996, Thomas G. Lane.
6ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * This file is part of the Independent JPEG Group's software.
7ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * For conditions of distribution and use, see the accompanying README file.
8ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov *
9ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * This file contains downsampling routines.
10ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov *
11ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * Downsampling input data is counted in "row groups".  A row group
12ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * is defined to be max_v_samp_factor pixel rows of each component,
13ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * from which the downsampler produces v_samp_factor sample rows.
14ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * A single row group is processed in each call to the downsampler module.
15ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov *
16ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * The downsampler is responsible for edge-expansion of its output data
17ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * to fill an integral number of DCT blocks horizontally.  The source buffer
18ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * may be modified if it is helpful for this purpose (the source buffer is
19ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * allocated wide enough to correspond to the desired output width).
20ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * The caller (the prep controller) is responsible for vertical padding.
21ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov *
22ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * The downsampler may request "context rows" by setting need_context_rows
23ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * during startup.  In this case, the input arrays will contain at least
24ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * one row group's worth of pixels above and below the passed-in data;
25ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * the caller will create dummy rows at image top and bottom by replicating
26ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * the first or last real pixel row.
27ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov *
28ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * An excellent reference for image resampling is
29ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov *   Digital Image Warping, George Wolberg, 1990.
30ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov *   Pub. by IEEE Computer Society Press, Los Alamitos, CA. ISBN 0-8186-8944-7.
31ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov *
32ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * The downsampling algorithm used here is a simple average of the source
33ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * pixels covered by the output pixel.  The hi-falutin sampling literature
34ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * refers to this as a "box filter".  In general the characteristics of a box
35ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * filter are not very good, but for the specific cases we normally use (1:1
36ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * and 2:1 ratios) the box is equivalent to a "triangle filter" which is not
37ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * nearly so bad.  If you intend to use other sampling ratios, you'd be well
38ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * advised to improve this code.
39ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov *
40ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * A simple input-smoothing capability is provided.  This is mainly intended
41ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * for cleaning up color-dithered GIF input files (if you find it inadequate,
42ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * we suggest using an external filtering program such as pnmconvol).  When
43ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * enabled, each input pixel P is replaced by a weighted sum of itself and its
44ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * eight neighbors.  P's weight is 1-8*SF and each neighbor's weight is SF,
45ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * where SF = (smoothing_factor / 1024).
46ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * Currently, smoothing is only supported for 2h2v sampling factors.
47ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov */
48ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
49ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov#define JPEG_INTERNALS
50ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov#include "jinclude.h"
51ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov#include "jpeglib.h"
52ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
53ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
54ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov/* Pointer to routine to downsample a single component */
55ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovtypedef JMETHOD(void, downsample1_ptr,
56ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		(j_compress_ptr cinfo, jpeg_component_info * compptr,
57ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		 JSAMPARRAY input_data, JSAMPARRAY output_data));
58ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
59ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov/* Private subobject */
60ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
61ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovtypedef struct {
62ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  struct jpeg_downsampler pub;	/* public fields */
63ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
64ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  /* Downsampling method pointers, one per component */
65ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  downsample1_ptr methods[MAX_COMPONENTS];
66ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov} my_downsampler;
67ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
68ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovtypedef my_downsampler * my_downsample_ptr;
69ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
70ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
71ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov/*
72ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * Initialize for a downsampling pass.
73ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov */
74ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
75ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovMETHODDEF(void)
76ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovstart_pass_downsample (j_compress_ptr cinfo)
77ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
78ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  /* no work for now */
79ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
80ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
81ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
82ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov/*
83ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * Expand a component horizontally from width input_cols to width output_cols,
84ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * by duplicating the rightmost samples.
85ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov */
86ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
87ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovLOCAL(void)
88ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovexpand_right_edge (JSAMPARRAY image_data, int num_rows,
89ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		   JDIMENSION input_cols, JDIMENSION output_cols)
90ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
91ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  register JSAMPROW ptr;
92ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  register JSAMPLE pixval;
93ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  register int count;
94ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  int row;
95ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  int numcols = (int) (output_cols - input_cols);
96ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
97ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  if (numcols > 0) {
98ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (row = 0; row < num_rows; row++) {
99ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      ptr = image_data[row] + input_cols;
100ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      pixval = ptr[-1];		/* don't need GETJSAMPLE() here */
101ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      for (count = numcols; count > 0; count--)
102ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	*ptr++ = pixval;
103ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
104ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  }
105ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
106ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
107ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
108ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov/*
109ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * Do downsampling for a whole row group (all components).
110ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov *
111ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * In this version we simply downsample each component independently.
112ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov */
113ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
114ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovMETHODDEF(void)
115ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovsep_downsample (j_compress_ptr cinfo,
116ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		JSAMPIMAGE input_buf, JDIMENSION in_row_index,
117ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		JSAMPIMAGE output_buf, JDIMENSION out_row_group_index)
118ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
119ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  my_downsample_ptr downsample = (my_downsample_ptr) cinfo->downsample;
120ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  int ci;
121ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  jpeg_component_info * compptr;
122ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  JSAMPARRAY in_ptr, out_ptr;
123ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
124ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  for (ci = 0, compptr = cinfo->comp_info; ci < cinfo->num_components;
125ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov       ci++, compptr++) {
126ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    in_ptr = input_buf[ci] + in_row_index;
127ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    out_ptr = output_buf[ci] + (out_row_group_index * compptr->v_samp_factor);
128ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    (*downsample->methods[ci]) (cinfo, compptr, in_ptr, out_ptr);
129ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  }
130ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
131ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
132ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
133ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov/*
134ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * Downsample pixel values of a single component.
135ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * One row group is processed per call.
136ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * This version handles arbitrary integral sampling ratios, without smoothing.
137ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * Note that this version is not actually used for customary sampling ratios.
138ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov */
139ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
140ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovMETHODDEF(void)
141ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovint_downsample (j_compress_ptr cinfo, jpeg_component_info * compptr,
142ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		JSAMPARRAY input_data, JSAMPARRAY output_data)
143ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
144ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  int inrow, outrow, h_expand, v_expand, numpix, numpix2, h, v;
145ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  JDIMENSION outcol, outcol_h;	/* outcol_h == outcol*h_expand */
146ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  JDIMENSION output_cols = compptr->width_in_blocks * DCTSIZE;
147ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  JSAMPROW inptr, outptr;
148ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  INT32 outvalue;
149ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
150ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  h_expand = cinfo->max_h_samp_factor / compptr->h_samp_factor;
151ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  v_expand = cinfo->max_v_samp_factor / compptr->v_samp_factor;
152ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  numpix = h_expand * v_expand;
153ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  numpix2 = numpix/2;
154ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
155ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  /* Expand input data enough to let all the output samples be generated
156ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * by the standard loop.  Special-casing padded output would be more
157ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * efficient.
158ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   */
159ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  expand_right_edge(input_data, cinfo->max_v_samp_factor,
160ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		    cinfo->image_width, output_cols * h_expand);
161ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
162ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  inrow = 0;
163ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  for (outrow = 0; outrow < compptr->v_samp_factor; outrow++) {
164ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    outptr = output_data[outrow];
165ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (outcol = 0, outcol_h = 0; outcol < output_cols;
166ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	 outcol++, outcol_h += h_expand) {
167ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      outvalue = 0;
168ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      for (v = 0; v < v_expand; v++) {
169ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	inptr = input_data[inrow+v] + outcol_h;
170ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	for (h = 0; h < h_expand; h++) {
171ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	  outvalue += (INT32) GETJSAMPLE(*inptr++);
172ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	}
173ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      }
174ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      *outptr++ = (JSAMPLE) ((outvalue + numpix2) / numpix);
175ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
176ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    inrow += v_expand;
177ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  }
178ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
179ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
180ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
181ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov/*
182ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * Downsample pixel values of a single component.
183ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * This version handles the special case of a full-size component,
184ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * without smoothing.
185ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov */
186ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
187ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovMETHODDEF(void)
188ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovfullsize_downsample (j_compress_ptr cinfo, jpeg_component_info * compptr,
189ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		     JSAMPARRAY input_data, JSAMPARRAY output_data)
190ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
191ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  /* Copy the data */
192ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  jcopy_sample_rows(input_data, 0, output_data, 0,
193ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		    cinfo->max_v_samp_factor, cinfo->image_width);
194ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  /* Edge-expand */
195ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  expand_right_edge(output_data, cinfo->max_v_samp_factor,
196ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		    cinfo->image_width, compptr->width_in_blocks * DCTSIZE);
197ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
198ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
199ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
200ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov/*
201ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * Downsample pixel values of a single component.
202ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * This version handles the common case of 2:1 horizontal and 1:1 vertical,
203ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * without smoothing.
204ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov *
205ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * A note about the "bias" calculations: when rounding fractional values to
206ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * integer, we do not want to always round 0.5 up to the next integer.
207ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * If we did that, we'd introduce a noticeable bias towards larger values.
208ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * Instead, this code is arranged so that 0.5 will be rounded up or down at
209ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * alternate pixel locations (a simple ordered dither pattern).
210ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov */
211ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
212ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovMETHODDEF(void)
213ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovh2v1_downsample (j_compress_ptr cinfo, jpeg_component_info * compptr,
214ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		 JSAMPARRAY input_data, JSAMPARRAY output_data)
215ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
216ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  int outrow;
217ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  JDIMENSION outcol;
218ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  JDIMENSION output_cols = compptr->width_in_blocks * DCTSIZE;
219ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  register JSAMPROW inptr, outptr;
220ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  register int bias;
221ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
222ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  /* Expand input data enough to let all the output samples be generated
223ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * by the standard loop.  Special-casing padded output would be more
224ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * efficient.
225ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   */
226ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  expand_right_edge(input_data, cinfo->max_v_samp_factor,
227ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		    cinfo->image_width, output_cols * 2);
228ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
229ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  for (outrow = 0; outrow < compptr->v_samp_factor; outrow++) {
230ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    outptr = output_data[outrow];
231ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    inptr = input_data[outrow];
232ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    bias = 0;			/* bias = 0,1,0,1,... for successive samples */
233ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (outcol = 0; outcol < output_cols; outcol++) {
234ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      *outptr++ = (JSAMPLE) ((GETJSAMPLE(*inptr) + GETJSAMPLE(inptr[1])
235ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov			      + bias) >> 1);
236ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      bias ^= 1;		/* 0=>1, 1=>0 */
237ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      inptr += 2;
238ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
239ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  }
240ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
241ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
242ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
243ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov/*
244ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * Downsample pixel values of a single component.
245ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * This version handles the standard case of 2:1 horizontal and 2:1 vertical,
246ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * without smoothing.
247ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov */
248ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
249ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovMETHODDEF(void)
250ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovh2v2_downsample (j_compress_ptr cinfo, jpeg_component_info * compptr,
251ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		 JSAMPARRAY input_data, JSAMPARRAY output_data)
252ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
253ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  int inrow, outrow;
254ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  JDIMENSION outcol;
255ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  JDIMENSION output_cols = compptr->width_in_blocks * DCTSIZE;
256ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  register JSAMPROW inptr0, inptr1, outptr;
257ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  register int bias;
258ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
259ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  /* Expand input data enough to let all the output samples be generated
260ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * by the standard loop.  Special-casing padded output would be more
261ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * efficient.
262ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   */
263ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  expand_right_edge(input_data, cinfo->max_v_samp_factor,
264ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		    cinfo->image_width, output_cols * 2);
265ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
266ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  inrow = 0;
267ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  for (outrow = 0; outrow < compptr->v_samp_factor; outrow++) {
268ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    outptr = output_data[outrow];
269ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    inptr0 = input_data[inrow];
270ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    inptr1 = input_data[inrow+1];
271ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    bias = 1;			/* bias = 1,2,1,2,... for successive samples */
272ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (outcol = 0; outcol < output_cols; outcol++) {
273ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      *outptr++ = (JSAMPLE) ((GETJSAMPLE(*inptr0) + GETJSAMPLE(inptr0[1]) +
274ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov			      GETJSAMPLE(*inptr1) + GETJSAMPLE(inptr1[1])
275ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov			      + bias) >> 2);
276ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      bias ^= 3;		/* 1=>2, 2=>1 */
277ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      inptr0 += 2; inptr1 += 2;
278ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
279ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    inrow += 2;
280ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  }
281ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
282ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
283ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
284ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov#ifdef INPUT_SMOOTHING_SUPPORTED
285ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
286ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov/*
287ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * Downsample pixel values of a single component.
288ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * This version handles the standard case of 2:1 horizontal and 2:1 vertical,
289ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * with smoothing.  One row of context is required.
290ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov */
291ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
292ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovMETHODDEF(void)
293ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovh2v2_smooth_downsample (j_compress_ptr cinfo, jpeg_component_info * compptr,
294ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov			JSAMPARRAY input_data, JSAMPARRAY output_data)
295ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
296ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  int inrow, outrow;
297ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  JDIMENSION colctr;
298ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  JDIMENSION output_cols = compptr->width_in_blocks * DCTSIZE;
299ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  register JSAMPROW inptr0, inptr1, above_ptr, below_ptr, outptr;
300ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  INT32 membersum, neighsum, memberscale, neighscale;
301ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
302ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  /* Expand input data enough to let all the output samples be generated
303ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * by the standard loop.  Special-casing padded output would be more
304ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * efficient.
305ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   */
306ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  expand_right_edge(input_data - 1, cinfo->max_v_samp_factor + 2,
307ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		    cinfo->image_width, output_cols * 2);
308ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
309ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  /* We don't bother to form the individual "smoothed" input pixel values;
310ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * we can directly compute the output which is the average of the four
311ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * smoothed values.  Each of the four member pixels contributes a fraction
312ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * (1-8*SF) to its own smoothed image and a fraction SF to each of the three
313ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * other smoothed pixels, therefore a total fraction (1-5*SF)/4 to the final
314ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * output.  The four corner-adjacent neighbor pixels contribute a fraction
315ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * SF to just one smoothed pixel, or SF/4 to the final output; while the
316ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * eight edge-adjacent neighbors contribute SF to each of two smoothed
317ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * pixels, or SF/2 overall.  In order to use integer arithmetic, these
318ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * factors are scaled by 2^16 = 65536.
319ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * Also recall that SF = smoothing_factor / 1024.
320ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   */
321ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
322ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  memberscale = 16384 - cinfo->smoothing_factor * 80; /* scaled (1-5*SF)/4 */
323ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  neighscale = cinfo->smoothing_factor * 16; /* scaled SF/4 */
324ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
325ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  inrow = 0;
326ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  for (outrow = 0; outrow < compptr->v_samp_factor; outrow++) {
327ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    outptr = output_data[outrow];
328ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    inptr0 = input_data[inrow];
329ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    inptr1 = input_data[inrow+1];
330ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    above_ptr = input_data[inrow-1];
331ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    below_ptr = input_data[inrow+2];
332ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
333ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    /* Special case for first column: pretend column -1 is same as column 0 */
334ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    membersum = GETJSAMPLE(*inptr0) + GETJSAMPLE(inptr0[1]) +
335ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		GETJSAMPLE(*inptr1) + GETJSAMPLE(inptr1[1]);
336ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    neighsum = GETJSAMPLE(*above_ptr) + GETJSAMPLE(above_ptr[1]) +
337ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	       GETJSAMPLE(*below_ptr) + GETJSAMPLE(below_ptr[1]) +
338ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	       GETJSAMPLE(*inptr0) + GETJSAMPLE(inptr0[2]) +
339ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	       GETJSAMPLE(*inptr1) + GETJSAMPLE(inptr1[2]);
340ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    neighsum += neighsum;
341ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    neighsum += GETJSAMPLE(*above_ptr) + GETJSAMPLE(above_ptr[2]) +
342ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		GETJSAMPLE(*below_ptr) + GETJSAMPLE(below_ptr[2]);
343ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    membersum = membersum * memberscale + neighsum * neighscale;
344ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    *outptr++ = (JSAMPLE) ((membersum + 32768) >> 16);
345ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    inptr0 += 2; inptr1 += 2; above_ptr += 2; below_ptr += 2;
346ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
347ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (colctr = output_cols - 2; colctr > 0; colctr--) {
348ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      /* sum of pixels directly mapped to this output element */
349ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      membersum = GETJSAMPLE(*inptr0) + GETJSAMPLE(inptr0[1]) +
350ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		  GETJSAMPLE(*inptr1) + GETJSAMPLE(inptr1[1]);
351ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      /* sum of edge-neighbor pixels */
352ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      neighsum = GETJSAMPLE(*above_ptr) + GETJSAMPLE(above_ptr[1]) +
353ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		 GETJSAMPLE(*below_ptr) + GETJSAMPLE(below_ptr[1]) +
354ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		 GETJSAMPLE(inptr0[-1]) + GETJSAMPLE(inptr0[2]) +
355ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		 GETJSAMPLE(inptr1[-1]) + GETJSAMPLE(inptr1[2]);
356ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      /* The edge-neighbors count twice as much as corner-neighbors */
357ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      neighsum += neighsum;
358ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      /* Add in the corner-neighbors */
359ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      neighsum += GETJSAMPLE(above_ptr[-1]) + GETJSAMPLE(above_ptr[2]) +
360ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		  GETJSAMPLE(below_ptr[-1]) + GETJSAMPLE(below_ptr[2]);
361ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      /* form final output scaled up by 2^16 */
362ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      membersum = membersum * memberscale + neighsum * neighscale;
363ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      /* round, descale and output it */
364ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      *outptr++ = (JSAMPLE) ((membersum + 32768) >> 16);
365ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      inptr0 += 2; inptr1 += 2; above_ptr += 2; below_ptr += 2;
366ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
367ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
368ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    /* Special case for last column */
369ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    membersum = GETJSAMPLE(*inptr0) + GETJSAMPLE(inptr0[1]) +
370ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		GETJSAMPLE(*inptr1) + GETJSAMPLE(inptr1[1]);
371ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    neighsum = GETJSAMPLE(*above_ptr) + GETJSAMPLE(above_ptr[1]) +
372ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	       GETJSAMPLE(*below_ptr) + GETJSAMPLE(below_ptr[1]) +
373ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	       GETJSAMPLE(inptr0[-1]) + GETJSAMPLE(inptr0[1]) +
374ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	       GETJSAMPLE(inptr1[-1]) + GETJSAMPLE(inptr1[1]);
375ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    neighsum += neighsum;
376ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    neighsum += GETJSAMPLE(above_ptr[-1]) + GETJSAMPLE(above_ptr[1]) +
377ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		GETJSAMPLE(below_ptr[-1]) + GETJSAMPLE(below_ptr[1]);
378ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    membersum = membersum * memberscale + neighsum * neighscale;
379ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    *outptr = (JSAMPLE) ((membersum + 32768) >> 16);
380ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
381ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    inrow += 2;
382ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  }
383ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
384ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
385ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
386ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov/*
387ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * Downsample pixel values of a single component.
388ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * This version handles the special case of a full-size component,
389ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * with smoothing.  One row of context is required.
390ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov */
391ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
392ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovMETHODDEF(void)
393ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovfullsize_smooth_downsample (j_compress_ptr cinfo, jpeg_component_info *compptr,
394ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov			    JSAMPARRAY input_data, JSAMPARRAY output_data)
395ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
396ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  int outrow;
397ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  JDIMENSION colctr;
398ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  JDIMENSION output_cols = compptr->width_in_blocks * DCTSIZE;
399ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  register JSAMPROW inptr, above_ptr, below_ptr, outptr;
400ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  INT32 membersum, neighsum, memberscale, neighscale;
401ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  int colsum, lastcolsum, nextcolsum;
402ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
403ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  /* Expand input data enough to let all the output samples be generated
404ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * by the standard loop.  Special-casing padded output would be more
405ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * efficient.
406ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   */
407ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  expand_right_edge(input_data - 1, cinfo->max_v_samp_factor + 2,
408ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		    cinfo->image_width, output_cols);
409ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
410ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  /* Each of the eight neighbor pixels contributes a fraction SF to the
411ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * smoothed pixel, while the main pixel contributes (1-8*SF).  In order
412ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * to use integer arithmetic, these factors are multiplied by 2^16 = 65536.
413ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   * Also recall that SF = smoothing_factor / 1024.
414ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov   */
415ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
416ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  memberscale = 65536L - cinfo->smoothing_factor * 512L; /* scaled 1-8*SF */
417ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  neighscale = cinfo->smoothing_factor * 64; /* scaled SF */
418ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
419ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  for (outrow = 0; outrow < compptr->v_samp_factor; outrow++) {
420ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    outptr = output_data[outrow];
421ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    inptr = input_data[outrow];
422ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    above_ptr = input_data[outrow-1];
423ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    below_ptr = input_data[outrow+1];
424ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
425ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    /* Special case for first column */
426ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    colsum = GETJSAMPLE(*above_ptr++) + GETJSAMPLE(*below_ptr++) +
427ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	     GETJSAMPLE(*inptr);
428ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    membersum = GETJSAMPLE(*inptr++);
429ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    nextcolsum = GETJSAMPLE(*above_ptr) + GETJSAMPLE(*below_ptr) +
430ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		 GETJSAMPLE(*inptr);
431ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    neighsum = colsum + (colsum - membersum) + nextcolsum;
432ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    membersum = membersum * memberscale + neighsum * neighscale;
433ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    *outptr++ = (JSAMPLE) ((membersum + 32768) >> 16);
434ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    lastcolsum = colsum; colsum = nextcolsum;
435ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
436ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    for (colctr = output_cols - 2; colctr > 0; colctr--) {
437ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      membersum = GETJSAMPLE(*inptr++);
438ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      above_ptr++; below_ptr++;
439ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      nextcolsum = GETJSAMPLE(*above_ptr) + GETJSAMPLE(*below_ptr) +
440ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov		   GETJSAMPLE(*inptr);
441ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      neighsum = lastcolsum + (colsum - membersum) + nextcolsum;
442ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      membersum = membersum * memberscale + neighsum * neighscale;
443ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      *outptr++ = (JSAMPLE) ((membersum + 32768) >> 16);
444ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      lastcolsum = colsum; colsum = nextcolsum;
445ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    }
446ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
447ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    /* Special case for last column */
448ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    membersum = GETJSAMPLE(*inptr);
449ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    neighsum = lastcolsum + (colsum - membersum) + colsum;
450ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    membersum = membersum * memberscale + neighsum * neighscale;
451ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    *outptr = (JSAMPLE) ((membersum + 32768) >> 16);
452ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
453ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  }
454ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
455ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
456ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov#endif /* INPUT_SMOOTHING_SUPPORTED */
457ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
458ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
459ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov/*
460ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * Module initialization routine for downsampling.
461ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov * Note that we must select a routine for each component.
462ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov */
463ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
464ee451cb395940862dad63c85adfe8f2fd55e864cSvet GanovGLOBAL(void)
465ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganovjinit_downsampler (j_compress_ptr cinfo)
466ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov{
467ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  my_downsample_ptr downsample;
468ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  int ci;
469ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  jpeg_component_info * compptr;
470ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  boolean smoothok = TRUE;
471ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
472ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  downsample = (my_downsample_ptr)
473ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    (*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
474ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov				SIZEOF(my_downsampler));
475ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  cinfo->downsample = (struct jpeg_downsampler *) downsample;
476ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  downsample->pub.start_pass = start_pass_downsample;
477ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  downsample->pub.downsample = sep_downsample;
478ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  downsample->pub.need_context_rows = FALSE;
479ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
480ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  if (cinfo->CCIR601_sampling)
481ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    ERREXIT(cinfo, JERR_CCIR601_NOTIMPL);
482ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
483ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  /* Verify we can handle the sampling factors, and set up method pointers */
484ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  for (ci = 0, compptr = cinfo->comp_info; ci < cinfo->num_components;
485ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov       ci++, compptr++) {
486ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    if (compptr->h_samp_factor == cinfo->max_h_samp_factor &&
487ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	compptr->v_samp_factor == cinfo->max_v_samp_factor) {
488ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov#ifdef INPUT_SMOOTHING_SUPPORTED
489ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      if (cinfo->smoothing_factor) {
490ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	downsample->methods[ci] = fullsize_smooth_downsample;
491ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	downsample->pub.need_context_rows = TRUE;
492ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      } else
493ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov#endif
494ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	downsample->methods[ci] = fullsize_downsample;
495ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    } else if (compptr->h_samp_factor * 2 == cinfo->max_h_samp_factor &&
496ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	       compptr->v_samp_factor == cinfo->max_v_samp_factor) {
497ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      smoothok = FALSE;
498ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      downsample->methods[ci] = h2v1_downsample;
499ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    } else if (compptr->h_samp_factor * 2 == cinfo->max_h_samp_factor &&
500ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	       compptr->v_samp_factor * 2 == cinfo->max_v_samp_factor) {
501ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov#ifdef INPUT_SMOOTHING_SUPPORTED
502ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      if (cinfo->smoothing_factor) {
503ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	downsample->methods[ci] = h2v2_smooth_downsample;
504ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	downsample->pub.need_context_rows = TRUE;
505ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      } else
506ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov#endif
507ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	downsample->methods[ci] = h2v2_downsample;
508ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    } else if ((cinfo->max_h_samp_factor % compptr->h_samp_factor) == 0 &&
509ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov	       (cinfo->max_v_samp_factor % compptr->v_samp_factor) == 0) {
510ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      smoothok = FALSE;
511ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      downsample->methods[ci] = int_downsample;
512ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    } else
513ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov      ERREXIT(cinfo, JERR_FRACT_SAMPLE_NOTIMPL);
514ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  }
515ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
516ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov#ifdef INPUT_SMOOTHING_SUPPORTED
517ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov  if (cinfo->smoothing_factor && !smoothok)
518ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov    TRACEMS(cinfo, 0, JTRC_SMOOTH_NOTIMPL);
519ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov#endif
520ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov}
521ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov
522ee451cb395940862dad63c85adfe8f2fd55e864cSvet Ganov#endif //_FX_JPEG_TURBO_
523