1a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora// Copyright 2012 Google Inc. All Rights Reserved.
2a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora//
30406ce1417f76f2034833414dcecc9f56253640cVikas Arora// Use of this source code is governed by a BSD-style license
40406ce1417f76f2034833414dcecc9f56253640cVikas Arora// that can be found in the COPYING file in the root of the source
50406ce1417f76f2034833414dcecc9f56253640cVikas Arora// tree. An additional intellectual property rights grant can be found
60406ce1417f76f2034833414dcecc9f56253640cVikas Arora// in the file PATENTS. All contributing project authors may
70406ce1417f76f2034833414dcecc9f56253640cVikas Arora// be found in the AUTHORS file in the root of the source tree.
8a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora// -----------------------------------------------------------------------------
9a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora//
10a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora// Rescaling functions
11a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora//
12a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora// Author: Skal (pascal.massimino@gmail.com)
13a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
14a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora#include <assert.h>
15a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora#include <stdlib.h>
16a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora#include "./rescaler.h"
17af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora#include "../dsp/dsp.h"
18a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
19a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora//------------------------------------------------------------------------------
20af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora// Implementations of critical functions ImportRow / ExportRow
21af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora
22af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Aroravoid (*WebPRescalerImportRow)(WebPRescaler* const wrk,
23af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora                              const uint8_t* const src, int channel) = NULL;
24af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Aroravoid (*WebPRescalerExportRow)(WebPRescaler* const wrk, int x_out) = NULL;
25a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
26a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora#define RFIX 30
270406ce1417f76f2034833414dcecc9f56253640cVikas Arora#define MULT_FIX(x, y) (((int64_t)(x) * (y) + (1 << (RFIX - 1))) >> RFIX)
28a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
29af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arorastatic void ImportRowC(WebPRescaler* const wrk,
30af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora                       const uint8_t* const src, int channel) {
31a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  const int x_stride = wrk->num_channels;
32a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  const int x_out_max = wrk->dst_width * wrk->num_channels;
33a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  int x_in = channel;
34a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  int x_out;
35a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  int accum = 0;
36a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  if (!wrk->x_expand) {
37a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    int sum = 0;
38a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    for (x_out = channel; x_out < x_out_max; x_out += x_stride) {
39a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      accum += wrk->x_add;
40a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      for (; accum > 0; accum -= wrk->x_sub) {
41a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        sum += src[x_in];
42a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        x_in += x_stride;
43a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      }
44a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      {        // Emit next horizontal pixel.
45a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        const int32_t base = src[x_in];
46a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        const int32_t frac = base * (-accum);
47a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        x_in += x_stride;
48a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        wrk->frow[x_out] = (sum + base) * wrk->x_sub - frac;
49a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        // fresh fractional start for next pixel
50a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        sum = (int)MULT_FIX(frac, wrk->fx_scale);
51a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      }
52a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    }
53a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  } else {        // simple bilinear interpolation
54a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    int left = src[channel], right = src[channel];
55a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    for (x_out = channel; x_out < x_out_max; x_out += x_stride) {
56a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      if (accum < 0) {
57a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        left = right;
58a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        x_in += x_stride;
59a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        right = src[x_in];
60a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        accum += wrk->x_add;
61a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      }
62a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      wrk->frow[x_out] = right * wrk->x_add + (left - right) * accum;
63a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      accum -= wrk->x_sub;
64a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    }
65a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  }
66af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  // Accumulate the contribution of the new row.
67a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  for (x_out = channel; x_out < x_out_max; x_out += x_stride) {
68a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    wrk->irow[x_out] += wrk->frow[x_out];
69a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  }
70a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora}
71a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
72af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arorastatic void ExportRowC(WebPRescaler* const wrk, int x_out) {
73a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  if (wrk->y_accum <= 0) {
74a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    uint8_t* const dst = wrk->dst;
75a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    int32_t* const irow = wrk->irow;
76a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    const int32_t* const frow = wrk->frow;
77a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    const int yscale = wrk->fy_scale * (-wrk->y_accum);
78a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    const int x_out_max = wrk->dst_width * wrk->num_channels;
79af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    for (; x_out < x_out_max; ++x_out) {
80a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      const int frac = (int)MULT_FIX(frow[x_out], yscale);
81a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      const int v = (int)MULT_FIX(irow[x_out] - frac, wrk->fxy_scale);
82a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      dst[x_out] = (!(v & ~0xff)) ? v : (v < 0) ? 0 : 255;
83a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      irow[x_out] = frac;   // new fractional start
84a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    }
85a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    wrk->y_accum += wrk->y_add;
86a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    wrk->dst += wrk->dst_stride;
87af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  }
88af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora}
89af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora
90af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora//------------------------------------------------------------------------------
91af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora// MIPS version
92af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora
93af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora#if defined(WEBP_USE_MIPS32)
94af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora
95af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arorastatic void ImportRowMIPS(WebPRescaler* const wrk,
96af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora                          const uint8_t* const src, int channel) {
97af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  const int x_stride = wrk->num_channels;
98af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  const int x_out_max = wrk->dst_width * wrk->num_channels;
99af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  const int fx_scale = wrk->fx_scale;
100af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  const int x_add = wrk->x_add;
101af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  const int x_sub = wrk->x_sub;
102af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  int* frow = wrk->frow + channel;
103af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  int* irow = wrk->irow + channel;
104af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  const uint8_t* src1 = src + channel;
105af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  int temp1, temp2, temp3;
106af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  int base, frac, sum;
107af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  int accum, accum1;
108af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  const int x_stride1 = x_stride << 2;
109af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  int loop_c = x_out_max - channel;
110af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora
111af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  if (!wrk->x_expand) {
112af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    __asm__ volatile (
113af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "li     %[temp1],   0x8000                    \n\t"
114af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "li     %[temp2],   0x10000                   \n\t"
115af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "li     %[sum],     0                         \n\t"
116af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "li     %[accum],   0                         \n\t"
117af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    "1:                                             \n\t"
118af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "addu   %[accum],   %[accum],   %[x_add]      \n\t"
119af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "blez   %[accum],   3f                        \n\t"
120af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    "2:                                             \n\t"
121af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "lbu    %[temp3],   0(%[src1])                \n\t"
122af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "subu   %[accum],   %[accum],   %[x_sub]      \n\t"
123af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "addu   %[src1],    %[src1],    %[x_stride]   \n\t"
124af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "addu   %[sum],     %[sum],     %[temp3]      \n\t"
125af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "bgtz   %[accum],   2b                        \n\t"
126af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    "3:                                             \n\t"
127af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "lbu    %[base],    0(%[src1])                \n\t"
128af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "addu   %[src1],    %[src1],    %[x_stride]   \n\t"
129af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "negu   %[accum1],  %[accum]                  \n\t"
130af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "mul    %[frac],    %[base],    %[accum1]     \n\t"
131af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "addu   %[temp3],   %[sum],     %[base]       \n\t"
132af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "mul    %[temp3],   %[temp3],   %[x_sub]      \n\t"
133af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "lw     %[base],    0(%[irow])                \n\t"
134af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "subu   %[loop_c],  %[loop_c],  %[x_stride]   \n\t"
135af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "sll    %[accum1],  %[frac],    2             \n\t"
136af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "mult   %[temp1],   %[temp2]                  \n\t"
137af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "madd   %[accum1],  %[fx_scale]               \n\t"
138af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "mfhi   %[sum]                                \n\t"
139af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "subu   %[temp3],   %[temp3],   %[frac]       \n\t"
140af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "sw     %[temp3],   0(%[frow])                \n\t"
141af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "add    %[base],    %[base],    %[temp3]      \n\t"
142af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "sw     %[base],    0(%[irow])                \n\t"
143af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "addu   %[irow],    %[irow],    %[x_stride1]  \n\t"
144af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "addu   %[frow],    %[frow],    %[x_stride1]  \n\t"
145af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "bgtz   %[loop_c],  1b                        \n\t"
146af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora
147af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      : [accum] "=&r" (accum), [src1] "+r" (src1), [temp3] "=&r" (temp3),
148af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        [sum] "=&r" (sum), [base] "=&r" (base), [frac] "=&r" (frac),
149af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        [frow] "+r" (frow), [irow] "+r" (irow), [accum1] "=&r" (accum1),
150af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        [temp2] "=&r" (temp2), [temp1] "=&r" (temp1)
151af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      : [x_stride] "r" (x_stride), [fx_scale] "r" (fx_scale),
152af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        [x_sub] "r" (x_sub), [x_add] "r" (x_add),
153af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        [loop_c] "r" (loop_c), [x_stride1] "r" (x_stride1)
154af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      : "memory", "hi", "lo"
155af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    );
156a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  } else {
157af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    __asm__ volatile (
158af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "lbu    %[temp1],   0(%[src1])                \n\t"
159af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "move   %[temp2],   %[temp1]                  \n\t"
160af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "li     %[accum],   0                         \n\t"
161af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    "1:                                             \n\t"
162af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "bgez   %[accum],   2f                        \n\t"
163af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "move   %[temp2],   %[temp1]                  \n\t"
164af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "addu   %[src1],    %[x_stride]               \n\t"
165af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "lbu    %[temp1],   0(%[src1])                \n\t"
166af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "addu   %[accum],   %[x_add]                  \n\t"
167af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    "2:                                             \n\t"
168af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "subu   %[temp3],   %[temp2],   %[temp1]      \n\t"
169af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "mul    %[temp3],   %[temp3],   %[accum]      \n\t"
170af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "mul    %[base],    %[temp1],   %[x_add]      \n\t"
171af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "subu   %[accum],   %[accum],   %[x_sub]      \n\t"
172af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "lw     %[frac],    0(%[irow])                \n\t"
173af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "subu   %[loop_c],  %[loop_c],  %[x_stride]   \n\t"
174af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "addu   %[temp3],   %[base],    %[temp3]      \n\t"
175af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "sw     %[temp3],   0(%[frow])                \n\t"
176af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "addu   %[frow],    %[x_stride1]              \n\t"
177af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "addu   %[frac],    %[temp3]                  \n\t"
178af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "sw     %[frac],    0(%[irow])                \n\t"
179af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "addu   %[irow],    %[x_stride1]              \n\t"
180af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "bgtz   %[loop_c],  1b                        \n\t"
181af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora
182af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      : [src1] "+r" (src1), [accum] "=&r" (accum), [temp1] "=&r" (temp1),
183af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        [temp2] "=&r" (temp2), [temp3] "=&r" (temp3), [base] "=&r" (base),
184af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        [frac] "=&r" (frac), [frow] "+r" (frow), [irow] "+r" (irow)
185af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      : [x_stride] "r" (x_stride), [x_add] "r" (x_add), [x_sub] "r" (x_sub),
186af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        [x_stride1] "r" (x_stride1), [loop_c] "r" (loop_c)
187af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      : "memory", "hi", "lo"
188af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    );
189af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  }
190af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora}
191af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora
192af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arorastatic void ExportRowMIPS(WebPRescaler* const wrk, int x_out) {
193af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  if (wrk->y_accum <= 0) {
194af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    uint8_t* const dst = wrk->dst;
195af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    int32_t* const irow = wrk->irow;
196af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    const int32_t* const frow = wrk->frow;
197af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    const int yscale = wrk->fy_scale * (-wrk->y_accum);
198af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    const int x_out_max = wrk->dst_width * wrk->num_channels;
199af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    // if wrk->fxy_scale can fit into 32 bits use optimized code,
200af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    // otherwise use C code
201af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    if ((wrk->fxy_scale >> 32) == 0) {
202af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      int temp0, temp1, temp3, temp4, temp5, temp6, temp7, loop_end;
203af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      const int temp2 = (int)(wrk->fxy_scale);
204af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      const int temp8 = x_out_max << 2;
205af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      uint8_t* dst_t = (uint8_t*)dst;
206af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      int32_t* irow_t = (int32_t*)irow;
207af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      const int32_t* frow_t = (const int32_t*)frow;
208af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora
209af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      __asm__ volatile(
210af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "addiu    %[temp6],    $zero,       -256          \n\t"
211af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "addiu    %[temp7],    $zero,       255           \n\t"
212af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "li       %[temp3],    0x10000                    \n\t"
213af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "li       %[temp4],    0x8000                     \n\t"
214af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "addu     %[loop_end], %[frow_t],   %[temp8]      \n\t"
215af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "1:                                                 \n\t"
216af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "lw       %[temp0],    0(%[frow_t])               \n\t"
217af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "mult     %[temp3],    %[temp4]                   \n\t"
218af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "addiu    %[frow_t],   %[frow_t],   4             \n\t"
219af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "sll      %[temp0],    %[temp0],    2             \n\t"
220af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "madd     %[temp0],    %[yscale]                  \n\t"
221af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "mfhi     %[temp1]                                \n\t"
222af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "lw       %[temp0],    0(%[irow_t])               \n\t"
223af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "addiu    %[dst_t],    %[dst_t],    1             \n\t"
224af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "addiu    %[irow_t],   %[irow_t],   4             \n\t"
225af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "subu     %[temp0],    %[temp0],    %[temp1]      \n\t"
226af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "mult     %[temp3],    %[temp4]                   \n\t"
227af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "sll      %[temp0],    %[temp0],    2             \n\t"
228af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "madd     %[temp0],    %[temp2]                   \n\t"
229af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "mfhi     %[temp5]                                \n\t"
230af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "sw       %[temp1],    -4(%[irow_t])              \n\t"
231af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "and      %[temp0],    %[temp5],    %[temp6]      \n\t"
232af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "slti     %[temp1],    %[temp5],    0             \n\t"
233af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "beqz     %[temp0],    2f                         \n\t"
234af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "xor      %[temp5],    %[temp5],    %[temp5]      \n\t"
235af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "movz     %[temp5],    %[temp7],    %[temp1]      \n\t"
236af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      "2:                                                 \n\t"
237af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "sb       %[temp5],    -1(%[dst_t])               \n\t"
238af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        "bne      %[frow_t],   %[loop_end], 1b            \n\t"
239af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora
240af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        : [temp0]"=&r"(temp0), [temp1]"=&r"(temp1), [temp3]"=&r"(temp3),
241af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora          [temp4]"=&r"(temp4), [temp5]"=&r"(temp5), [temp6]"=&r"(temp6),
242af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora          [temp7]"=&r"(temp7), [frow_t]"+r"(frow_t), [irow_t]"+r"(irow_t),
243af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora          [dst_t]"+r"(dst_t), [loop_end]"=&r"(loop_end)
244af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        : [temp2]"r"(temp2), [yscale]"r"(yscale), [temp8]"r"(temp8)
245af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        : "memory", "hi", "lo"
246af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      );
247af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      wrk->y_accum += wrk->y_add;
248af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      wrk->dst += wrk->dst_stride;
249af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    } else {
250af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      ExportRowC(wrk, x_out);
251af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    }
252af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  }
253af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora}
254af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora#endif   // WEBP_USE_MIPS32
255af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora
256af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora//------------------------------------------------------------------------------
257af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora
258af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Aroravoid WebPRescalerInit(WebPRescaler* const wrk, int src_width, int src_height,
259af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora                      uint8_t* const dst, int dst_width, int dst_height,
260af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora                      int dst_stride, int num_channels, int x_add, int x_sub,
261af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora                      int y_add, int y_sub, int32_t* const work) {
262af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  wrk->x_expand = (src_width < dst_width);
263af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  wrk->src_width = src_width;
264af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  wrk->src_height = src_height;
265af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  wrk->dst_width = dst_width;
266af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  wrk->dst_height = dst_height;
267af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  wrk->dst = dst;
268af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  wrk->dst_stride = dst_stride;
269af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  wrk->num_channels = num_channels;
270af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  // for 'x_expand', we use bilinear interpolation
271af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  wrk->x_add = wrk->x_expand ? (x_sub - 1) : x_add - x_sub;
272af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  wrk->x_sub = wrk->x_expand ? (x_add - 1) : x_sub;
273af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  wrk->y_accum = y_add;
274af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  wrk->y_add = y_add;
275af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  wrk->y_sub = y_sub;
276af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  wrk->fx_scale = (1 << RFIX) / x_sub;
277af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  wrk->fy_scale = (1 << RFIX) / y_sub;
278af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  wrk->fxy_scale = wrk->x_expand ?
279af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      ((int64_t)dst_height << RFIX) / (x_sub * src_height) :
280af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      ((int64_t)dst_height << RFIX) / (x_add * src_height);
281af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  wrk->irow = work;
282af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  wrk->frow = work + num_channels * dst_width;
283af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora
284af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora  if (WebPRescalerImportRow == NULL) {
285af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    WebPRescalerImportRow = ImportRowC;
286af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    WebPRescalerExportRow = ExportRowC;
287af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    if (VP8GetCPUInfo != NULL) {
288af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora#if defined(WEBP_USE_MIPS32)
289af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      if (VP8GetCPUInfo(kMIPS32)) {
290af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        WebPRescalerImportRow = ImportRowMIPS;
291af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora        WebPRescalerExportRow = ExportRowMIPS;
292af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora      }
293af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora#endif
294af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    }
295a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  }
296a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora}
297a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
298a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora#undef MULT_FIX
299a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora#undef RFIX
300a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
301a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora//------------------------------------------------------------------------------
302a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora// all-in-one calls
303a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
3048b720228d581a84fd173b6dcb2fa295b59db489aVikas Aroraint WebPRescaleNeededLines(const WebPRescaler* const wrk, int max_num_lines) {
3058b720228d581a84fd173b6dcb2fa295b59db489aVikas Arora  const int num_lines = (wrk->y_accum + wrk->y_sub - 1) / wrk->y_sub;
3068b720228d581a84fd173b6dcb2fa295b59db489aVikas Arora  return (num_lines > max_num_lines) ? max_num_lines : num_lines;
3078b720228d581a84fd173b6dcb2fa295b59db489aVikas Arora}
3088b720228d581a84fd173b6dcb2fa295b59db489aVikas Arora
309a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Aroraint WebPRescalerImport(WebPRescaler* const wrk, int num_lines,
310a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora                       const uint8_t* src, int src_stride) {
311a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  int total_imported = 0;
312a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  while (total_imported < num_lines && wrk->y_accum > 0) {
313a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    int channel;
314a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    for (channel = 0; channel < wrk->num_channels; ++channel) {
315a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      WebPRescalerImportRow(wrk, src, channel);
316a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    }
317a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    src += src_stride;
318a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    ++total_imported;
319a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    wrk->y_accum -= wrk->y_sub;
320a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  }
321a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  return total_imported;
322a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora}
323a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
324a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Aroraint WebPRescalerExport(WebPRescaler* const rescaler) {
325a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  int total_exported = 0;
326a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  while (WebPRescalerHasPendingOutput(rescaler)) {
327af51b94a435132e9014c324e25fb686b3d07a8c8Vikas Arora    WebPRescalerExportRow(rescaler, 0);
328a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    ++total_exported;
329a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  }
330a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  return total_exported;
331a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora}
332a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
333a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora//------------------------------------------------------------------------------
334