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https://github.com/webmproject/libwebp.git
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Introduce a 'fast' alpha mode
.. where only 2 filtering modes are potentially tried, instead of all of them. This is fast than the exhaustive 'best' mode, and not much worse. Options for cwebp are: -alpha_filter none -alpha_filter fast (<- default) -alpha_filter best (<- slow) Change-Id: I8cb90ee11b8f981811e013ea4ad5bf72ba3ea7d4
This commit is contained in:
parent
ad1e163a0d
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2
README
2
README
@ -149,6 +149,8 @@ options:
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-map <int> ............. print map of extra info.
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-d <file.pgm> .......... dump the compressed output (PGM file).
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-alpha_method <int> .... Transparency-compression method (0..1)
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-alpha_filter <string> . predictive filtering for alpha plane.
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One of: none, fast (default) or best.
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-noalpha ............... discard any transparency information.
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-short ................. condense printed message
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@ -700,7 +700,8 @@ static void HelpLong(void) {
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printf(" -map <int> ............. print map of extra info.\n");
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printf(" -d <file.pgm> .......... dump the compressed output (PGM file).\n");
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printf(" -alpha_method <int> .... Transparency-compression method (0..1)\n");
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printf(" -alpha_filter <int> .... predictive filtering for Alpha (0..5)\n");
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printf(" -alpha_filter <string> . predictive filtering for alpha plane.\n");
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printf(" One of: none, fast (default) or best.\n");
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printf(" -noalpha ............... discard any transparency information.\n");
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printf("\n");
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@ -795,7 +796,17 @@ int main(int argc, const char *argv[]) {
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} else if (!strcmp(argv[c], "-alpha_method") && c < argc - 1) {
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config.alpha_compression = strtol(argv[++c], NULL, 0);
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} else if (!strcmp(argv[c], "-alpha_filter") && c < argc - 1) {
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config.alpha_filtering = strtol(argv[++c], NULL, 0);
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++c;
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if (!strcmp(argv[c], "none")) {
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config.alpha_filtering = 0;
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} else if (!strcmp(argv[c], "fast")) {
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config.alpha_filtering = 1;
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} else if (!strcmp(argv[c], "best")) {
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config.alpha_filtering = 2;
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} else {
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fprintf(stderr, "Error! Unrecognized alpha filter: %s\n", argv[c]);
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goto Error;
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}
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} else if (!strcmp(argv[c], "-noalpha")) {
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keep_alpha = 0;
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} else if (!strcmp(argv[c], "-size") && c < argc - 1) {
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12
man/cwebp.1
12
man/cwebp.1
@ -41,11 +41,13 @@ Specify the compression factor for alpha compression between 0 and 100.
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Lossless compression of alpha is achieved using a value of 100, while the lower
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values result in a lossy compression. The default is 100.
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.TP
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.B \-alpha_filter int
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Specify the predictive filtering method (between 0 and 5) for alpha plane.
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These correspond to prediction modes none, horizontal, vertical, gradient and
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paeth filters. The prediction mode 5 will try all the prediction modes (0 to 4)
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and pick the best prediction mode. The default value is 0 (no prediction).
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.B \-alpha_filter string
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Specify the predictive filtering method for alpha plane. One of 'none', 'fast'
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or 'best', in increasing complexity and slowness order. Default is 'fast'.
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Internally, alpha filtering is performed using four possible predictions (none,
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horizontal, vertical, gradient). The 'best' mode will try each modes in turn and
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pick the one which gives the smaller size. The 'fast' mode will just try to
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form an a-priori guess without testing all modes.
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.TP
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.B \-f int
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Specify the strength of the deblocking filter, between 0 (no filtering)
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@ -14,6 +14,7 @@
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#include "./vp8enci.h"
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#include "../utils/alpha.h"
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#include "../utils/filters.h"
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#if defined(__cplusplus) || defined(c_plusplus)
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extern "C" {
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@ -33,10 +34,15 @@ int VP8EncFinishAlpha(VP8Encoder* enc) {
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const WebPPicture* pic = enc->pic_;
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uint8_t* tmp_data = NULL;
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size_t tmp_size = 0;
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const WEBP_FILTER_TYPE filter =
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(config->alpha_filtering == 0) ? WEBP_FILTER_NONE :
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(config->alpha_filtering == 1) ? WEBP_FILTER_FAST :
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WEBP_FILTER_BEST;
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assert(pic->a);
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if (!EncodeAlpha(pic->a, pic->width, pic->height, pic->a_stride,
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config->alpha_quality, config->alpha_compression,
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config->alpha_filtering, &tmp_data, &tmp_size)) {
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filter, &tmp_data, &tmp_size)) {
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return 0;
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}
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if (tmp_size != (uint32_t)tmp_size) { // Sanity check.
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@ -42,7 +42,7 @@ int WebPConfigInitInternal(WebPConfig* const config,
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config->autofilter = 0;
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config->partition_limit = 0;
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config->alpha_compression = 1;
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config->alpha_filtering = 0;
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config->alpha_filtering = 1;
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config->alpha_quality = 100;
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// TODO(skal): tune.
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@ -203,14 +203,35 @@ static int EncodeZlibTCoder(const uint8_t* data, int width, int height,
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return ok && !bw->error_;
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}
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// -----------------------------------------------------------------------------
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static int EncodeAlphaInternal(const uint8_t* data, int width, int height,
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int method, VP8BitWriter* const bw) {
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int method, int filter, size_t data_size,
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uint8_t* tmp_alpha, VP8BitWriter* const bw) {
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int ok = 0;
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const uint8_t* alpha_src;
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WebPFilterFunc filter_func;
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uint8_t header[ALPHA_HEADER_LEN];
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const size_t expected_size = (method == 0) ?
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(ALPHA_HEADER_LEN + data_size) : (data_size >> 5);
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header[0] = (filter << 4) | method;
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header[1] = 0; // reserved byte for later use
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VP8BitWriterInit(bw, expected_size);
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VP8BitWriterAppend(bw, header, sizeof(header));
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filter_func = WebPFilters[filter];
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if (filter_func) {
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filter_func(data, width, height, 1, width, tmp_alpha);
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alpha_src = tmp_alpha;
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} else {
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alpha_src = data;
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}
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if (method == 0) {
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ok = VP8BitWriterAppend(bw, data, width * height);
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ok = VP8BitWriterAppend(bw, alpha_src, width * height);
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ok = ok && !bw->error_;
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} else if (method == 1) {
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ok = EncodeZlibTCoder(data, width, height, bw);
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} else {
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ok = EncodeZlibTCoder(alpha_src, width, height, bw);
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VP8BitWriterFinish(bw);
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}
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return ok;
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@ -239,7 +260,7 @@ int EncodeAlpha(const uint8_t* data, int width, int height, int stride,
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assert(data != NULL && output != NULL && output_size != NULL);
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assert(width > 0 && height > 0);
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assert(stride >= width);
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assert(filter < WEBP_FILTER_LAST);
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assert(filter >= WEBP_FILTER_NONE && filter <= WEBP_FILTER_FAST);
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if (quality < 0 || quality > 100) {
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return 0;
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@ -267,62 +288,67 @@ int EncodeAlpha(const uint8_t* data, int width, int height, int stride,
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}
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if (ok) {
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WEBP_FILTER_TYPE this_filter;
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size_t best_size = 1 << 30;
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uint8_t* tmp_out = NULL;
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uint8_t* const filtered_alpha = (uint8_t*)malloc(data_size);
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if (filtered_alpha == NULL) {
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free(quant_alpha);
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return 0;
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VP8BitWriter bw;
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size_t best_score;
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int test_filter;
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uint8_t* filtered_alpha = NULL;
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// We always test WEBP_FILTER_NONE first.
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ok = EncodeAlphaInternal(quant_alpha, width, height, method,
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WEBP_FILTER_NONE, data_size, NULL, &bw);
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if (!ok) {
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VP8BitWriterWipeOut(&bw);
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goto End;
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}
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// Filtering.
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for (this_filter = WEBP_FILTER_NONE; this_filter < WEBP_FILTER_LAST;
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++this_filter) {
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uint8_t header[ALPHA_HEADER_LEN];
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VP8BitWriter bw;
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WebPFilterFunc filter_func = NULL;
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const size_t expected_size = (method == 0) ?
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(ALPHA_HEADER_LEN + data_size) : (data_size >> 5);
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if (this_filter == WEBP_FILTER_BEST) {
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continue;
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} else if (this_filter != filter && filter != WEBP_FILTER_BEST) {
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best_score = VP8BitWriterSize(&bw);
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if (filter == WEBP_FILTER_FAST) { // Quick estimate of a second candidate?
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filter = EstimateBestFilter(quant_alpha, width, height, width);
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}
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// Stop?
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if (filter == WEBP_FILTER_NONE) {
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goto Ok;
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}
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filtered_alpha = (uint8_t*)malloc(data_size);
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ok = (filtered_alpha != NULL);
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if (!ok) {
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goto End;
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}
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// Try the other mode(s).
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for (test_filter = WEBP_FILTER_HORIZONTAL;
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ok && (test_filter <= WEBP_FILTER_GRADIENT);
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++test_filter) {
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VP8BitWriter tmp_bw;
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if (filter != WEBP_FILTER_BEST && test_filter != filter) {
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continue;
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}
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header[0] = ((this_filter & 0x0f) << 4) | (method & 0x0f);
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header[1] = 0; // reserved byte for later use
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VP8BitWriterInit(&bw, expected_size);
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VP8BitWriterAppend(&bw, header, sizeof(header));
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filter_func = WebPFilters[this_filter];
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if (filter_func) {
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filter_func(quant_alpha, width, height, 1, width, filtered_alpha);
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ok = EncodeAlphaInternal(filtered_alpha, width, height, method, &bw);
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} else {
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ok = EncodeAlphaInternal(quant_alpha, width, height, method, &bw);
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}
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ok = EncodeAlphaInternal(quant_alpha, width, height, method, test_filter,
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data_size, filtered_alpha, &tmp_bw);
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if (ok) {
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const size_t this_size = VP8BitWriterSize(&bw);
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if (this_size < best_size) {
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free(tmp_out);
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tmp_out = VP8BitWriterBuf(&bw);
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best_size = this_size;
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} else {
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VP8BitWriterWipeOut(&bw);
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const size_t score = VP8BitWriterSize(&tmp_bw);
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if (score < best_score) {
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// swap bitwriter objects.
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VP8BitWriter tmp = tmp_bw;
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tmp_bw = bw;
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bw = tmp;
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best_score = score;
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}
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} else {
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free(tmp_out);
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VP8BitWriterWipeOut(&bw);
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break;
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}
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VP8BitWriterWipeOut(&tmp_bw);
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}
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Ok:
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if (ok) {
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*output_size = best_size;
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*output = tmp_out;
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*output_size = VP8BitWriterSize(&bw);
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*output = VP8BitWriterBuf(&bw);
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}
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free(filtered_alpha);
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}
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End:
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free(quant_alpha);
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return ok;
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}
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@ -379,7 +405,7 @@ int DecodeAlpha(const uint8_t* data, size_t data_size,
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uint8_t* decoded_data = NULL;
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const size_t decoded_size = height * width;
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uint8_t* unfiltered_data = NULL;
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int filter;
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WEBP_FILTER_TYPE filter;
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int ok = 0;
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int method;
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@ -394,7 +420,7 @@ int DecodeAlpha(const uint8_t* data, size_t data_size,
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filter = data[0] >> 4;
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ok = (data[1] == 0);
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if (method < 0 || method > 1 ||
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filter < WEBP_FILTER_NONE || filter > WEBP_FILTER_PAETH || !ok) {
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filter > WEBP_FILTER_GRADIENT || !ok) {
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return 0;
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}
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@ -115,6 +115,11 @@ static void VerticalUnfilter(const uint8_t* data, int width, int height,
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//------------------------------------------------------------------------------
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// Gradient filter.
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static WEBP_INLINE uint8_t GradientPredictor(uint8_t a, uint8_t b, uint8_t c) {
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const int g = a + b - c;
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return (g < 0) ? 0 : (g > 255) ? 255 : (uint8_t)g;
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}
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static void GradientFilter(const uint8_t* data, int width, int height,
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int bpp, int stride, uint8_t* filtered_data) {
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int h;
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@ -131,9 +136,9 @@ static void GradientFilter(const uint8_t* data, int width, int height,
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const uint8_t* const prev_line = scan_line - stride;
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memcpy((void*)out, (const void*)scan_line, bpp);
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for (w = bpp; w < width * bpp; ++w) {
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const uint8_t predictor = scan_line[w - bpp] + prev_line[w] -
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prev_line[w - bpp];
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out[w] = scan_line[w] - predictor;
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out[w] = scan_line[w] - GradientPredictor(scan_line[w - bpp],
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prev_line[w],
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prev_line[w - bpp]);
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}
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}
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}
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@ -154,110 +159,81 @@ static void GradientUnfilter(const uint8_t* data, int width, int height,
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const uint8_t* const out_prev_line = out - stride;
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memcpy((void*)out, (const void*)scan_line, bpp);
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for (w = bpp; w < width * bpp; ++w) {
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const uint8_t predictor = out[w - bpp] + out_prev_line[w] -
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out_prev_line[w - bpp];
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out[w] = scan_line[w] + predictor;
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}
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}
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}
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//------------------------------------------------------------------------------
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// Paeth filter.
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static WEBP_INLINE int AbsDiff(int a, int b) {
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return (a > b) ? a - b : b - a;
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}
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static WEBP_INLINE uint8_t PaethPredictor(uint8_t a, uint8_t b, uint8_t c) {
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const int p = a + b - c; // Base.
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const int pa = AbsDiff(p, a);
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const int pb = AbsDiff(p, b);
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const int pc = AbsDiff(p, c);
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// Return nearest to base of a, b, c.
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return (pa <= pb && pa <= pc) ? a : (pb <= pc) ? b : c;
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}
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static void PaethFilter(const uint8_t* data, int width, int height,
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int bpp, int stride, uint8_t* filtered_data) {
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int w;
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int h;
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SANITY_CHECK(data, filtered_data);
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// Top scan line (special case).
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memcpy((void*)filtered_data, (const void*)data, bpp);
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for (w = bpp; w < width * bpp; ++w) {
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// Note: PaethPredictor(scan_line[w - bpp], 0, 0) == scan_line[w - bpp].
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filtered_data[w] = data[w] - data[w - bpp];
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}
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// Filter line-by-line.
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for (h = 1; h < height; ++h) {
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int w;
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const uint8_t* const scan_line = data + h * stride;
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uint8_t* const out = filtered_data + h * stride;
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const uint8_t* const prev_line = scan_line - stride;
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for (w = 0; w < bpp; ++w) {
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// Note: PaethPredictor(0, prev_line[w], 0) == prev_line[w].
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out[w] = scan_line[w] - prev_line[w];
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}
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for (w = bpp; w < width * bpp; ++w) {
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out[w] = scan_line[w] - PaethPredictor(scan_line[w - bpp], prev_line[w],
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prev_line[w - bpp]);
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}
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}
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}
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static void PaethUnfilter(const uint8_t* data, int width, int height,
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int bpp, int stride, uint8_t* recon_data) {
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int w;
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int h;
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SANITY_CHECK(data, recon_data);
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// Top scan line (special case).
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memcpy((void*)recon_data, (const void*)data, bpp);
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for (w = bpp; w < width * bpp; ++w) {
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// Note: PaethPredictor(out[w - bpp], 0, 0) == out[w - bpp].
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recon_data[w] = data[w] + recon_data[w - bpp];
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}
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// Unfilter line-by-line.
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for (h = 1; h < height; ++h) {
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int w;
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const uint8_t* const scan_line = data + h * stride;
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uint8_t* const out = recon_data + h * stride;
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const uint8_t* const out_prev = out - stride;
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for (w = 0; w < bpp; ++w) {
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// Note: PaethPredictor(0, out_prev[w], 0) == out_prev[w].
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out[w] = scan_line[w] + out_prev[w];
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}
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for (w = bpp; w < width * bpp; ++w) {
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out[w] = scan_line[w] + PaethPredictor(out[w - bpp], out_prev[w],
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out_prev[w - bpp]);
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out[w] = scan_line[w] + GradientPredictor(out[w - bpp],
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out_prev_line[w],
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out_prev_line[w - bpp]);
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}
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}
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}
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#undef SANITY_CHECK
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// -----------------------------------------------------------------------------
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// Quick estimate of a potentially interesting filter mode to try, in addition
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// to the default NONE.
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#define SMAX 16
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#define SDIFF(a, b) (abs((a) - (b)) >> 4) // Scoring diff, in [0..SMAX)
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WEBP_FILTER_TYPE EstimateBestFilter(const uint8_t* data,
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int width, int height, int stride) {
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int i, j;
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int bins[WEBP_FILTER_LAST][SMAX];
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memset(bins, 0, sizeof(bins));
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// We only sample every other pixels. That's enough.
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for (j = 2; j < height - 1; j += 2) {
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const uint8_t* const p = data + j * stride;
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int mean = p[0];
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for (i = 2; i < width - 1; i += 2) {
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const int diff0 = SDIFF(p[i], mean);
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const int diff1 = SDIFF(p[i], p[i - 1]);
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const int diff2 = SDIFF(p[i], p[i - width]);
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const int grad_pred =
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GradientPredictor(p[i - 1], p[i - width], p[i - width - 1]);
|
||||
const int diff3 = SDIFF(p[i], grad_pred);
|
||||
bins[WEBP_FILTER_NONE][diff0] = 1;
|
||||
bins[WEBP_FILTER_HORIZONTAL][diff1] = 1;
|
||||
bins[WEBP_FILTER_VERTICAL][diff2] = 1;
|
||||
bins[WEBP_FILTER_GRADIENT][diff3] = 1;
|
||||
mean = (3 * mean + p[i] + 2) >> 2;
|
||||
}
|
||||
}
|
||||
{
|
||||
WEBP_FILTER_TYPE filter, best_filter = WEBP_FILTER_NONE;
|
||||
int best_score = 0x7fffffff;
|
||||
for (filter = WEBP_FILTER_NONE; filter < WEBP_FILTER_LAST; ++filter) {
|
||||
int score = 0;
|
||||
for (i = 0; i < SMAX; ++i) {
|
||||
if (bins[filter][i] > 0) {
|
||||
score += i;
|
||||
}
|
||||
}
|
||||
if (score < best_score) {
|
||||
best_score = score;
|
||||
best_filter = filter;
|
||||
}
|
||||
}
|
||||
return best_filter;
|
||||
}
|
||||
}
|
||||
|
||||
#undef SMAX
|
||||
#undef SDIFF
|
||||
|
||||
//------------------------------------------------------------------------------
|
||||
|
||||
const WebPFilterFunc WebPFilters[WEBP_FILTER_LAST] = {
|
||||
NULL, // WEBP_FILTER_NONE
|
||||
HorizontalFilter, // WEBP_FILTER_HORIZONTAL
|
||||
VerticalFilter, // WEBP_FILTER_VERTICAL
|
||||
GradientFilter, // WEBP_FILTER_GRADIENT
|
||||
PaethFilter, // WEBP_FILTER_PAETH
|
||||
NULL // WEBP_FILTER_BEST
|
||||
GradientFilter // WEBP_FILTER_GRADIENT
|
||||
};
|
||||
|
||||
const WebPFilterFunc WebPUnfilters[WEBP_FILTER_LAST] = {
|
||||
NULL, // WEBP_FILTER_NONE
|
||||
HorizontalUnfilter, // WEBP_FILTER_HORIZONTAL
|
||||
VerticalUnfilter, // WEBP_FILTER_VERTICAL
|
||||
GradientUnfilter, // WEBP_FILTER_GRADIENT
|
||||
PaethUnfilter, // WEBP_FILTER_PAETH
|
||||
NULL // WEBP_FILTER_BEST
|
||||
GradientUnfilter // WEBP_FILTER_GRADIENT
|
||||
};
|
||||
|
||||
//------------------------------------------------------------------------------
|
||||
|
@ -24,9 +24,9 @@ typedef enum {
|
||||
WEBP_FILTER_HORIZONTAL,
|
||||
WEBP_FILTER_VERTICAL,
|
||||
WEBP_FILTER_GRADIENT,
|
||||
WEBP_FILTER_PAETH,
|
||||
WEBP_FILTER_LAST = WEBP_FILTER_GRADIENT + 1, // end marker
|
||||
WEBP_FILTER_BEST,
|
||||
WEBP_FILTER_LAST,
|
||||
WEBP_FILTER_FAST
|
||||
} WEBP_FILTER_TYPE;
|
||||
|
||||
typedef void (*WebPFilterFunc)(const uint8_t* in, int width, int height,
|
||||
@ -38,10 +38,14 @@ typedef void (*WebPFilterFunc)(const uint8_t* in, int width, int height,
|
||||
// 'bpp' is number of bytes per pixel, and
|
||||
// 'stride' is number of bytes per scan line (with possible padding).
|
||||
// 'out' should be pre-allocated.
|
||||
extern const WebPFilterFunc WebPFilters[/*WEBP_FILTER_LAST*/];
|
||||
extern const WebPFilterFunc WebPFilters[WEBP_FILTER_LAST];
|
||||
|
||||
// Reconstruct the original data from the given filtered data.
|
||||
extern const WebPFilterFunc WebPUnfilters[/*WEBP_FILTER_LAST*/];
|
||||
extern const WebPFilterFunc WebPUnfilters[WEBP_FILTER_LAST];
|
||||
|
||||
// Fast estimate of a potentially good filter.
|
||||
extern WEBP_FILTER_TYPE EstimateBestFilter(const uint8_t* data,
|
||||
int width, int height, int stride);
|
||||
|
||||
#if defined(__cplusplus) || defined(c_plusplus)
|
||||
} // extern "C"
|
||||
|
@ -75,8 +75,7 @@ typedef struct {
|
||||
// 1 = backward reference counts encoded with
|
||||
// arithmetic encoder). Default is 1.
|
||||
int alpha_filtering; // Predictive filtering method for alpha plane.
|
||||
// (0 = none, 1 = horizontal, 2 = vertical, 3 = grad,
|
||||
// 4 = Paeth and 5 = Best of (0 .. 4).
|
||||
// 0: none, 1: fast, 2: best. Default if 1.
|
||||
int alpha_quality; // Between 0 (smallest size) and 100 (lossless).
|
||||
// Default is 100.
|
||||
} WebPConfig;
|
||||
|
Loading…
Reference in New Issue
Block a user