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-rw-r--r--third_party/libwebp/enc/quant.c180
1 files changed, 150 insertions, 30 deletions
diff --git a/third_party/libwebp/enc/quant.c b/third_party/libwebp/enc/quant.c
index ea15384..dcfd4d16 100644
--- a/third_party/libwebp/enc/quant.c
+++ b/third_party/libwebp/enc/quant.c
@@ -27,6 +27,8 @@
#define SNS_TO_DQ 0.9 // Scaling constant between the sns value and the QP
// power-law modulation. Must be strictly less than 1.
+#define I4_PENALTY 4000 // Rate-penalty for quick i4/i16 decision
+
#define MULT_8B(a, b) (((a) * (b) + 128) >> 8)
#if defined(__cplusplus) || defined(c_plusplus)
@@ -224,28 +226,90 @@ static void SetupFilterStrength(VP8Encoder* const enc) {
// We want to emulate jpeg-like behaviour where the expected "good" quality
// is around q=75. Internally, our "good" middle is around c=50. So we
// map accordingly using linear piece-wise function
-static double QualityToCompression(double q) {
- const double c = q / 100.;
- return (c < 0.75) ? c * (2. / 3.) : 2. * c - 1.;
+static double QualityToCompression(double c) {
+ const double linear_c = (c < 0.75) ? c * (2. / 3.) : 2. * c - 1.;
+ // The file size roughly scales as pow(quantizer, 3.). Actually, the
+ // exponent is somewhere between 2.8 and 3.2, but we're mostly interested
+ // in the mid-quant range. So we scale the compressibility inversely to
+ // this power-law: quant ~= compression ^ 1/3. This law holds well for
+ // low quant. Finer modelling for high-quant would make use of kAcTable[]
+ // more explicitly.
+ const double v = pow(linear_c, 1 / 3.);
+ return v;
+}
+
+static double QualityToJPEGCompression(double c, double alpha) {
+ // We map the complexity 'alpha' and quality setting 'c' to a compression
+ // exponent empirically matched to the compression curve of libjpeg6b.
+ // On average, the WebP output size will be roughly similar to that of a
+ // JPEG file compressed with same quality factor.
+ const double amin = 0.30;
+ const double amax = 0.85;
+ const double exp_min = 0.4;
+ const double exp_max = 0.9;
+ const double slope = (exp_min - exp_max) / (amax - amin);
+ // Linearly interpolate 'expn' from exp_min to exp_max
+ // in the [amin, amax] range.
+ const double expn = (alpha > amax) ? exp_min
+ : (alpha < amin) ? exp_max
+ : exp_max + slope * (alpha - amin);
+ const double v = pow(c, expn);
+ return v;
+}
+
+static int SegmentsAreEquivalent(const VP8SegmentInfo* const S1,
+ const VP8SegmentInfo* const S2) {
+ return (S1->quant_ == S2->quant_) && (S1->fstrength_ == S2->fstrength_);
+}
+
+static void SimplifySegments(VP8Encoder* const enc) {
+ int map[NUM_MB_SEGMENTS] = { 0, 1, 2, 3 };
+ const int num_segments = enc->segment_hdr_.num_segments_;
+ int num_final_segments = 1;
+ int s1, s2;
+ for (s1 = 1; s1 < num_segments; ++s1) { // find similar segments
+ const VP8SegmentInfo* const S1 = &enc->dqm_[s1];
+ int found = 0;
+ // check if we already have similar segment
+ for (s2 = 0; s2 < num_final_segments; ++s2) {
+ const VP8SegmentInfo* const S2 = &enc->dqm_[s2];
+ if (SegmentsAreEquivalent(S1, S2)) {
+ found = 1;
+ break;
+ }
+ }
+ map[s1] = s2;
+ if (!found) {
+ if (num_final_segments != s1) {
+ enc->dqm_[num_final_segments] = enc->dqm_[s1];
+ }
+ ++num_final_segments;
+ }
+ }
+ if (num_final_segments < num_segments) { // Remap
+ int i = enc->mb_w_ * enc->mb_h_;
+ while (i-- > 0) enc->mb_info_[i].segment_ = map[enc->mb_info_[i].segment_];
+ enc->segment_hdr_.num_segments_ = num_final_segments;
+ // Replicate the trailing segment infos (it's mostly cosmetics)
+ for (i = num_final_segments; i < num_segments; ++i) {
+ enc->dqm_[i] = enc->dqm_[num_final_segments - 1];
+ }
+ }
}
void VP8SetSegmentParams(VP8Encoder* const enc, float quality) {
int i;
int dq_uv_ac, dq_uv_dc;
- const int num_segments = enc->config_->segments;
+ const int num_segments = enc->segment_hdr_.num_segments_;
const double amp = SNS_TO_DQ * enc->config_->sns_strength / 100. / 128.;
- const double c_base = QualityToCompression(quality);
+ const double Q = quality / 100.;
+ const double c_base = enc->config_->emulate_jpeg_size ?
+ QualityToJPEGCompression(Q, enc->alpha_ / 255.) :
+ QualityToCompression(Q);
for (i = 0; i < num_segments; ++i) {
- // The file size roughly scales as pow(quantizer, 3.). Actually, the
- // exponent is somewhere between 2.8 and 3.2, but we're mostly interested
- // in the mid-quant range. So we scale the compressibility inversely to
- // this power-law: quant ~= compression ^ 1/3. This law holds well for
- // low quant. Finer modelling for high-quant would make use of kAcTable[]
- // more explicitely.
- // Additionally, we modulate the base exponent 1/3 to accommodate for the
- // quantization susceptibility and allow denser segments to be quantized
- // more.
- const double expn = (1. - amp * enc->dqm_[i].alpha_) / 3.;
+ // We modulate the base coefficient to accommodate for the quantization
+ // susceptibility and allow denser segments to be quantized more.
+ const double expn = 1. - amp * enc->dqm_[i].alpha_;
const double c = pow(c_base, expn);
const int q = (int)(127. * (1. - c));
assert(expn > 0.);
@@ -281,9 +345,11 @@ void VP8SetSegmentParams(VP8Encoder* const enc, float quality) {
enc->dq_uv_dc_ = dq_uv_dc;
enc->dq_uv_ac_ = dq_uv_ac;
- SetupMatrices(enc);
-
SetupFilterStrength(enc); // initialize segments' filtering, eventually
+
+ if (num_segments > 1) SimplifySegments(enc);
+
+ SetupMatrices(enc); // finalize quantization matrices
}
//------------------------------------------------------------------------------
@@ -709,7 +775,7 @@ static void PickBestIntra16(VP8EncIterator* const it, VP8ModeScore* const rd) {
int mode;
rd->mode_i16 = -1;
- for (mode = 0; mode < 4; ++mode) {
+ for (mode = 0; mode < NUM_PRED_MODES; ++mode) {
uint8_t* const tmp_dst = it->yuv_out2_ + Y_OFF; // scratch buffer
int nz;
@@ -838,7 +904,7 @@ static void PickBestUV(VP8EncIterator* const it, VP8ModeScore* const rd) {
rd->mode_uv = -1;
InitScore(&rd_best);
- for (mode = 0; mode < 4; ++mode) {
+ for (mode = 0; mode < NUM_PRED_MODES; ++mode) {
VP8ModeScore rd_uv;
// Reconstruct
@@ -867,10 +933,10 @@ static void PickBestUV(VP8EncIterator* const it, VP8ModeScore* const rd) {
static void SimpleQuantize(VP8EncIterator* const it, VP8ModeScore* const rd) {
const VP8Encoder* const enc = it->enc_;
- const int i16 = (it->mb_->type_ == 1);
+ const int is_i16 = (it->mb_->type_ == 1);
int nz = 0;
- if (i16) {
+ if (is_i16) {
nz = ReconstructIntra16(it, rd, it->yuv_out_ + Y_OFF, it->preds_[0]);
} else {
VP8IteratorStartI4(it);
@@ -889,11 +955,66 @@ static void SimpleQuantize(VP8EncIterator* const it, VP8ModeScore* const rd) {
rd->nz = nz;
}
+// Refine intra16/intra4 sub-modes based on distortion only (not rate).
+static void DistoRefine(VP8EncIterator* const it, int try_both_i4_i16) {
+ const int is_i16 = (it->mb_->type_ == 1);
+ score_t best_score = MAX_COST;
+
+ if (try_both_i4_i16 || is_i16) {
+ int mode;
+ int best_mode = -1;
+ for (mode = 0; mode < NUM_PRED_MODES; ++mode) {
+ const uint8_t* const ref = it->yuv_p_ + VP8I16ModeOffsets[mode];
+ const uint8_t* const src = it->yuv_in_ + Y_OFF;
+ const score_t score = VP8SSE16x16(src, ref);
+ if (score < best_score) {
+ best_mode = mode;
+ best_score = score;
+ }
+ }
+ VP8SetIntra16Mode(it, best_mode);
+ }
+ if (try_both_i4_i16 || !is_i16) {
+ uint8_t modes_i4[16];
+ // We don't evaluate the rate here, but just account for it through a
+ // constant penalty (i4 mode usually needs more bits compared to i16).
+ score_t score_i4 = (score_t)I4_PENALTY;
+
+ VP8IteratorStartI4(it);
+ do {
+ int mode;
+ int best_sub_mode = -1;
+ score_t best_sub_score = MAX_COST;
+ const uint8_t* const src = it->yuv_in_ + Y_OFF + VP8Scan[it->i4_];
+
+ // TODO(skal): we don't really need the prediction pixels here,
+ // but just the distortion against 'src'.
+ VP8MakeIntra4Preds(it);
+ for (mode = 0; mode < NUM_BMODES; ++mode) {
+ const uint8_t* const ref = it->yuv_p_ + VP8I4ModeOffsets[mode];
+ const score_t score = VP8SSE4x4(src, ref);
+ if (score < best_sub_score) {
+ best_sub_mode = mode;
+ best_sub_score = score;
+ }
+ }
+ modes_i4[it->i4_] = best_sub_mode;
+ score_i4 += best_sub_score;
+ if (score_i4 >= best_score) break;
+ } while (VP8IteratorRotateI4(it, it->yuv_in_ + Y_OFF));
+ if (score_i4 < best_score) {
+ VP8SetIntra4Mode(it, modes_i4);
+ }
+ }
+}
+
//------------------------------------------------------------------------------
// Entry point
-int VP8Decimate(VP8EncIterator* const it, VP8ModeScore* const rd, int rd_opt) {
+int VP8Decimate(VP8EncIterator* const it, VP8ModeScore* const rd,
+ VP8RDLevel rd_opt) {
int is_skipped;
+ const int method = it->enc_->method_;
InitScore(rd);
@@ -902,22 +1023,21 @@ int VP8Decimate(VP8EncIterator* const it, VP8ModeScore* const rd, int rd_opt) {
VP8MakeLuma16Preds(it);
VP8MakeChroma8Preds(it);
- // for rd_opt = 2, we perform trellis-quant on the final decision only.
- // for rd_opt > 2, we use it for every scoring (=much slower).
- if (rd_opt > 0) {
- it->do_trellis_ = (rd_opt > 2);
+ if (rd_opt > RD_OPT_NONE) {
+ it->do_trellis_ = (rd_opt >= RD_OPT_TRELLIS_ALL);
PickBestIntra16(it, rd);
- if (it->enc_->method_ >= 2) {
+ if (method >= 2) {
PickBestIntra4(it, rd);
}
PickBestUV(it, rd);
- if (rd_opt == 2) {
+ if (rd_opt == RD_OPT_TRELLIS) { // finish off with trellis-optim now
it->do_trellis_ = 1;
SimpleQuantize(it, rd);
}
} else {
- // TODO: for method_ == 2, pick the best intra4/intra16 based on SSE
- it->do_trellis_ = (it->enc_->method_ == 2);
+ // For method == 2, pick the best intra4/intra16 based on SSE (~tad slower).
+ // For method <= 1, we refine intra4 or intra16 (but don't re-examine mode).
+ DistoRefine(it, (method >= 2));
SimpleQuantize(it, rd);
}
is_skipped = (rd->nz == 0);