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"
17a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
18a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora//------------------------------------------------------------------------------
19a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
20a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora#if defined(__cplusplus) || defined(c_plusplus)
21a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Aroraextern "C" {
22a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora#endif
23a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
24a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora#define RFIX 30
250406ce1417f76f2034833414dcecc9f56253640cVikas Arora#define MULT_FIX(x, y) (((int64_t)(x) * (y) + (1 << (RFIX - 1))) >> RFIX)
26a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
27a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Aroravoid WebPRescalerInit(WebPRescaler* const wrk, int src_width, int src_height,
28a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora                      uint8_t* const dst, int dst_width, int dst_height,
29a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora                      int dst_stride, int num_channels, int x_add, int x_sub,
30a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora                      int y_add, int y_sub, int32_t* const work) {
31a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  wrk->x_expand = (src_width < dst_width);
32a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  wrk->src_width = src_width;
33a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  wrk->src_height = src_height;
34a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  wrk->dst_width = dst_width;
35a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  wrk->dst_height = dst_height;
36a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  wrk->dst = dst;
37a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  wrk->dst_stride = dst_stride;
38a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  wrk->num_channels = num_channels;
39a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  // for 'x_expand', we use bilinear interpolation
40a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  wrk->x_add = wrk->x_expand ? (x_sub - 1) : x_add - x_sub;
41a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  wrk->x_sub = wrk->x_expand ? (x_add - 1) : x_sub;
42a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  wrk->y_accum = y_add;
43a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  wrk->y_add = y_add;
44a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  wrk->y_sub = y_sub;
45a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  wrk->fx_scale = (1 << RFIX) / x_sub;
46a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  wrk->fy_scale = (1 << RFIX) / y_sub;
47a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  wrk->fxy_scale = wrk->x_expand ?
48a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      ((int64_t)dst_height << RFIX) / (x_sub * src_height) :
49a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      ((int64_t)dst_height << RFIX) / (x_add * src_height);
50a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  wrk->irow = work;
51a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  wrk->frow = work + num_channels * dst_width;
52a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora}
53a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
54a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Aroravoid WebPRescalerImportRow(WebPRescaler* const wrk,
55a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora                           const uint8_t* const src, int channel) {
56a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  const int x_stride = wrk->num_channels;
57a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  const int x_out_max = wrk->dst_width * wrk->num_channels;
58a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  int x_in = channel;
59a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  int x_out;
60a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  int accum = 0;
61a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  if (!wrk->x_expand) {
62a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    int sum = 0;
63a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    for (x_out = channel; x_out < x_out_max; x_out += x_stride) {
64a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      accum += wrk->x_add;
65a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      for (; accum > 0; accum -= wrk->x_sub) {
66a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        sum += src[x_in];
67a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        x_in += x_stride;
68a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      }
69a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      {        // Emit next horizontal pixel.
70a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        const int32_t base = src[x_in];
71a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        const int32_t frac = base * (-accum);
72a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        x_in += x_stride;
73a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        wrk->frow[x_out] = (sum + base) * wrk->x_sub - frac;
74a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        // fresh fractional start for next pixel
75a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        sum = (int)MULT_FIX(frac, wrk->fx_scale);
76a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      }
77a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    }
78a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  } else {        // simple bilinear interpolation
79a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    int left = src[channel], right = src[channel];
80a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    for (x_out = channel; x_out < x_out_max; x_out += x_stride) {
81a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      if (accum < 0) {
82a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        left = right;
83a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        x_in += x_stride;
84a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        right = src[x_in];
85a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora        accum += wrk->x_add;
86a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      }
87a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      wrk->frow[x_out] = right * wrk->x_add + (left - right) * accum;
88a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      accum -= wrk->x_sub;
89a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    }
90a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  }
91a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  // Accumulate the new row's contribution
92a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  for (x_out = channel; x_out < x_out_max; x_out += x_stride) {
93a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    wrk->irow[x_out] += wrk->frow[x_out];
94a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  }
95a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora}
96a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
97a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arorauint8_t* WebPRescalerExportRow(WebPRescaler* const wrk) {
98a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  if (wrk->y_accum <= 0) {
99a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    int x_out;
100a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    uint8_t* const dst = wrk->dst;
101a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    int32_t* const irow = wrk->irow;
102a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    const int32_t* const frow = wrk->frow;
103a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    const int yscale = wrk->fy_scale * (-wrk->y_accum);
104a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    const int x_out_max = wrk->dst_width * wrk->num_channels;
105a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
106a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    for (x_out = 0; x_out < x_out_max; ++x_out) {
107a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      const int frac = (int)MULT_FIX(frow[x_out], yscale);
108a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      const int v = (int)MULT_FIX(irow[x_out] - frac, wrk->fxy_scale);
109a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      dst[x_out] = (!(v & ~0xff)) ? v : (v < 0) ? 0 : 255;
110a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      irow[x_out] = frac;   // new fractional start
111a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    }
112a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    wrk->y_accum += wrk->y_add;
113a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    wrk->dst += wrk->dst_stride;
114a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    return dst;
115a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  } else {
116a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    return NULL;
117a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  }
118a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora}
119a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
120a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora#undef MULT_FIX
121a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora#undef RFIX
122a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
123a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora//------------------------------------------------------------------------------
124a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora// all-in-one calls
125a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
126a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Aroraint WebPRescalerImport(WebPRescaler* const wrk, int num_lines,
127a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora                       const uint8_t* src, int src_stride) {
128a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  int total_imported = 0;
129a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  while (total_imported < num_lines && wrk->y_accum > 0) {
130a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    int channel;
131a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    for (channel = 0; channel < wrk->num_channels; ++channel) {
132a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora      WebPRescalerImportRow(wrk, src, channel);
133a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    }
134a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    src += src_stride;
135a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    ++total_imported;
136a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    wrk->y_accum -= wrk->y_sub;
137a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  }
138a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  return total_imported;
139a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora}
140a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
141a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Aroraint WebPRescalerExport(WebPRescaler* const rescaler) {
142a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  int total_exported = 0;
143a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  while (WebPRescalerHasPendingOutput(rescaler)) {
144a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    WebPRescalerExportRow(rescaler);
145a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora    ++total_exported;
146a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  }
147a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora  return total_exported;
148a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora}
149a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
150a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora//------------------------------------------------------------------------------
151a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora
152a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora#if defined(__cplusplus) || defined(c_plusplus)
153a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora}    // extern "C"
154a2415724fb3466168b2af5b08bd94ba732c0e753Vikas Arora#endif
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