Merge "add a -jpeg_like option"
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5c3e381b2f
1
README
1
README
@ -183,6 +183,7 @@ options:
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-progress .............. report encoding progress
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Experimental Options:
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-jpeg_like ............. Roughly match expected JPEG size.
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-af .................... auto-adjust filter strength.
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-pre <int> ............. pre-processing filter
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@ -580,6 +580,7 @@ static void HelpLong(void) {
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printf(" -progress .............. report encoding progress\n");
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printf("\n");
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printf("Experimental Options:\n");
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printf(" -jpeg_like ............. Roughly match expected JPEG size.\n");
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printf(" -af .................... auto-adjust filter strength.\n");
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printf(" -pre <int> ............. pre-processing filter\n");
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printf("\n");
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@ -719,6 +720,8 @@ int main(int argc, const char *argv[]) {
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config.filter_strength = strtol(argv[++c], NULL, 0);
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} else if (!strcmp(argv[c], "-af")) {
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config.autofilter = 1;
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} else if (!strcmp(argv[c], "-jpeg_like")) {
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config.emulate_jpeg_size = 1;
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} else if (!strcmp(argv[c], "-strong")) {
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config.filter_type = 1;
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} else if (!strcmp(argv[c], "-sharpness") && c < argc - 1) {
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@ -1,5 +1,5 @@
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.\" Hey, EMACS: -*- nroff -*-
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.TH CWEBP 1 "February 01, 2013"
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.TH CWEBP 1 "February 6, 2013"
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.SH NAME
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cwebp \- compress an image file to a WebP file
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.SH SYNOPSIS
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@ -76,6 +76,12 @@ additional encoding possibilities and decide on the quality gain.
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Lower value can result is faster processing time at the expense of
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larger file size and lower compression quality.
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.TP
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.B \-jpeg_like
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Change the internal parameter mapping to better match the expected size
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of JPEG compression. This flag will generally produce an output file of
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similar size to its JPEG equivalent (for the same \fB\-q\fP setting), but
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with less visual distortion.
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.TP
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.B \-af
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Turns auto-filter on. This algorithm will spend additional time optimizing
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the filtering strength to reach a well-balanced quality.
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@ -318,7 +318,8 @@ static int MBAnalyzeBestUVMode(VP8EncIterator* const it) {
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}
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static void MBAnalyze(VP8EncIterator* const it,
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int alphas[MAX_ALPHA + 1], int* const uv_alpha) {
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int alphas[MAX_ALPHA + 1],
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int* const alpha, int* const uv_alpha) {
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const VP8Encoder* const enc = it->enc_;
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int best_alpha, best_uv_alpha;
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@ -340,8 +341,11 @@ static void MBAnalyze(VP8EncIterator* const it,
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best_alpha = (3 * best_alpha + best_uv_alpha + 2) >> 2;
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best_alpha = FinalAlphaValue(best_alpha);
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alphas[best_alpha]++;
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*uv_alpha += best_uv_alpha;
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it->mb_->alpha_ = best_alpha; // for later remapping.
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// Accumulate for later complexity analysis.
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*alpha += best_alpha; // mixed susceptibility (not just luma)
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*uv_alpha += best_uv_alpha;
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}
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static void DefaultMBInfo(VP8MBInfo* const mb) {
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@ -362,35 +366,42 @@ static void DefaultMBInfo(VP8MBInfo* const mb) {
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// and decide intra4/intra16, but that's usually almost always a bad choice at
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// this stage.
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static void ResetAllMBInfo(VP8Encoder* const enc) {
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int n;
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for (n = 0; n < enc->mb_w_ * enc->mb_h_; ++n) {
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DefaultMBInfo(&enc->mb_info_[n]);
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}
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// Default susceptibilities.
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enc->dqm_[0].alpha_ = 0;
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enc->dqm_[0].beta_ = 0;
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// Note: we can't compute this alpha_ / uv_alpha_.
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WebPReportProgress(enc->pic_, enc->percent_ + 20, &enc->percent_);
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}
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int VP8EncAnalyze(VP8Encoder* const enc) {
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int ok = 1;
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const int do_segments =
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enc->config_->emulate_jpeg_size || // We need the complexity evaluation.
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(enc->segment_hdr_.num_segments_ > 1) ||
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(enc->method_ <= 2); // for methods 0,1,2, we need preds_[] to be filled.
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enc->alpha_ = 0;
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enc->uv_alpha_ = 0;
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if (do_segments) {
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int alphas[MAX_ALPHA + 1] = { 0 };
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VP8EncIterator it;
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VP8IteratorInit(enc, &it);
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enc->uv_alpha_ = 0;
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do {
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VP8IteratorImport(&it);
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MBAnalyze(&it, alphas, &enc->uv_alpha_);
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MBAnalyze(&it, alphas, &enc->alpha_, &enc->uv_alpha_);
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ok = VP8IteratorProgress(&it, 20);
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// Let's pretend we have perfect lossless reconstruction.
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} while (ok && VP8IteratorNext(&it, it.yuv_in_));
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enc->alpha_ /= enc->mb_w_ * enc->mb_h_;
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enc->uv_alpha_ /= enc->mb_w_ * enc->mb_h_;
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if (ok) AssignSegments(enc, alphas);
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} else { // Use only one default segment.
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int n;
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for (n = 0; n < enc->mb_w_ * enc->mb_h_; ++n) {
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DefaultMBInfo(&enc->mb_info_[n]);
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}
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// Default susceptibilities.
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enc->dqm_[0].alpha_ = 0;
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enc->dqm_[0].beta_ = 0;
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enc->uv_alpha_ = 0; // we can't compute this one.
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WebPReportProgress(enc->pic_, enc->percent_ + 20, &enc->percent_);
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ResetAllMBInfo(enc);
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}
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return ok;
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}
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@ -46,6 +46,7 @@ int WebPConfigInitInternal(WebPConfig* config,
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config->alpha_quality = 100;
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config->lossless = 0;
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config->image_hint = WEBP_HINT_DEFAULT;
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config->emulate_jpeg_size = 0;
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// TODO(skal): tune.
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switch (preset) {
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@ -122,6 +123,8 @@ int WebPValidateConfig(const WebPConfig* config) {
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return 0;
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if (config->image_hint >= WEBP_HINT_LAST)
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return 0;
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if (config->emulate_jpeg_size < 0 || config->emulate_jpeg_size > 1)
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return 0;
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return 1;
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}
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@ -224,9 +224,35 @@ static void SetupFilterStrength(VP8Encoder* const enc) {
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// We want to emulate jpeg-like behaviour where the expected "good" quality
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// is around q=75. Internally, our "good" middle is around c=50. So we
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// map accordingly using linear piece-wise function
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static double QualityToCompression(double q) {
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const double c = q / 100.;
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return (c < 0.75) ? c * (2. / 3.) : 2. * c - 1.;
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static double QualityToCompression(double c) {
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const double linear_c = (c < 0.75) ? c * (2. / 3.) : 2. * c - 1.;
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// The file size roughly scales as pow(quantizer, 3.). Actually, the
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// exponent is somewhere between 2.8 and 3.2, but we're mostly interested
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// in the mid-quant range. So we scale the compressibility inversely to
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// this power-law: quant ~= compression ^ 1/3. This law holds well for
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// low quant. Finer modelling for high-quant would make use of kAcTable[]
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// more explicitly.
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const double v = pow(linear_c, 1 / 3.);
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return v;
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}
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static double QualityToJPEGCompression(double c, double alpha) {
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// We map the complexity 'alpha' and quality setting 'c' to a compression
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// exponent empirically matched to the compression curve of libjpeg6b.
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// On average, the WebP output size will be roughly similar to that of a
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// JPEG file compressed with same quality factor.
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const double amin = 0.30;
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const double amax = 0.85;
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const double exp_min = 0.4;
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const double exp_max = 0.9;
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const double slope = (exp_min - exp_max) / (amax - amin);
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// Linearly interpolate 'expn' from exp_min to exp_max
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// in the [amin, amax] range.
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const double expn = (alpha > amax) ? exp_min
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: (alpha < amin) ? exp_max
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: exp_max + slope * (alpha - amin);
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const double v = pow(c, expn);
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return v;
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}
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static int SegmentsAreEquivalent(const VP8SegmentInfo* const S1,
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@ -274,18 +300,14 @@ void VP8SetSegmentParams(VP8Encoder* const enc, float quality) {
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int dq_uv_ac, dq_uv_dc;
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const int num_segments = enc->segment_hdr_.num_segments_;
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const double amp = SNS_TO_DQ * enc->config_->sns_strength / 100. / 128.;
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const double c_base = QualityToCompression(quality);
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const double Q = quality / 100.;
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const double c_base = enc->config_->emulate_jpeg_size ?
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QualityToJPEGCompression(Q, enc->alpha_ / 255.) :
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QualityToCompression(Q);
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for (i = 0; i < num_segments; ++i) {
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// The file size roughly scales as pow(quantizer, 3.). Actually, the
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// exponent is somewhere between 2.8 and 3.2, but we're mostly interested
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// in the mid-quant range. So we scale the compressibility inversely to
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// this power-law: quant ~= compression ^ 1/3. This law holds well for
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// low quant. Finer modelling for high-quant would make use of kAcTable[]
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// more explicitely.
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// Additionally, we modulate the base exponent 1/3 to accommodate for the
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// quantization susceptibility and allow denser segments to be quantized
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// more.
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const double expn = (1. - amp * enc->dqm_[i].alpha_) / 3.;
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// We modulate the base coefficient to accommodate for the quantization
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// susceptibility and allow denser segments to be quantized more.
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const double expn = 1. - amp * enc->dqm_[i].alpha_;
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const double c = pow(c_base, expn);
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const int q = (int)(127. * (1. - c));
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assert(expn > 0.);
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@ -389,6 +389,7 @@ struct VP8Encoder {
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VP8SegmentInfo dqm_[NUM_MB_SEGMENTS];
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int base_quant_; // nominal quantizer value. Only used
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// for relative coding of segments' quant.
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int alpha_; // global susceptibility (<=> complexity)
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int uv_alpha_; // U/V quantization susceptibility
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// global offset of quantizers, shared by all segments
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int dq_y1_dc_;
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@ -121,8 +121,12 @@ struct WebPConfig {
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int partition_limit; // quality degradation allowed to fit the 512k limit
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// on prediction modes coding (0: no degradation,
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// 100: maximum possible degradation).
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int emulate_jpeg_size; // If true, compression parameters will be remapped
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// to better match the expected output size from
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// JPEG compression. Generally, the output size will
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// be similar but the degradation will be lower.
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uint32_t pad[8]; // padding for later use
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uint32_t pad[7]; // padding for later use
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};
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// Enumerate some predefined settings for WebPConfig, depending on the type
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