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Speedups for empty histograms.
When histograms are empty, it is easy to add them. They should also not be considered when merging histograms (it is a waste of CPU). This does not change the compression performance, just the speed. Change-Id: I42c721ca0f9c5ea067e73b792aa3db6d5e71d01f
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dea3e89983
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@ -643,25 +643,56 @@ static void AddVectorEq_C(const uint32_t* a, uint32_t* out, int size) {
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for (i = 0; i < size; ++i) out[i] += a[i];
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}
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#define ADD(X, ARG, LEN) do { \
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if (a->is_used_[X]) { \
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if (b->is_used_[X]) { \
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VP8LAddVector(a->ARG, b->ARG, out->ARG, (LEN)); \
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} else { \
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memcpy(&out->ARG[0], &a->ARG[0], (LEN) * sizeof(out->ARG[0])); \
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} \
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} else if (b->is_used_[X]) { \
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memcpy(&out->ARG[0], &b->ARG[0], (LEN) * sizeof(out->ARG[0])); \
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} else { \
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memset(&out->ARG[0], 0, (LEN) * sizeof(out->ARG[0])); \
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} \
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} while (0)
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#define ADD_EQ(X, ARG, LEN) do { \
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if (a->is_used_[X]) { \
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if (out->is_used_[X]) { \
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VP8LAddVectorEq(a->ARG, out->ARG, (LEN)); \
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} else { \
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memcpy(&out->ARG[0], &a->ARG[0], (LEN) * sizeof(out->ARG[0])); \
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} \
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} \
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} while (0)
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void VP8LHistogramAdd(const VP8LHistogram* const a,
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const VP8LHistogram* const b, VP8LHistogram* const out) {
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int i;
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const int literal_size = VP8LHistogramNumCodes(a->palette_code_bits_);
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assert(a->palette_code_bits_ == b->palette_code_bits_);
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if (b != out) {
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VP8LAddVector(a->literal_, b->literal_, out->literal_, literal_size);
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VP8LAddVector(a->distance_, b->distance_, out->distance_,
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NUM_DISTANCE_CODES);
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VP8LAddVector(a->red_, b->red_, out->red_, NUM_LITERAL_CODES);
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VP8LAddVector(a->blue_, b->blue_, out->blue_, NUM_LITERAL_CODES);
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VP8LAddVector(a->alpha_, b->alpha_, out->alpha_, NUM_LITERAL_CODES);
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ADD(0, literal_, literal_size);
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ADD(1, red_, NUM_LITERAL_CODES);
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ADD(2, blue_, NUM_LITERAL_CODES);
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ADD(3, alpha_, NUM_LITERAL_CODES);
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ADD(4, distance_, NUM_DISTANCE_CODES);
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for (i = 0; i < 5; ++i) {
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out->is_used_[i] = (a->is_used_[i] | b->is_used_[i]);
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}
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} else {
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VP8LAddVectorEq(a->literal_, out->literal_, literal_size);
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VP8LAddVectorEq(a->distance_, out->distance_, NUM_DISTANCE_CODES);
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VP8LAddVectorEq(a->red_, out->red_, NUM_LITERAL_CODES);
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VP8LAddVectorEq(a->blue_, out->blue_, NUM_LITERAL_CODES);
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VP8LAddVectorEq(a->alpha_, out->alpha_, NUM_LITERAL_CODES);
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ADD_EQ(0, literal_, literal_size);
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ADD_EQ(1, red_, NUM_LITERAL_CODES);
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ADD_EQ(2, blue_, NUM_LITERAL_CODES);
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ADD_EQ(3, alpha_, NUM_LITERAL_CODES);
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ADD_EQ(4, distance_, NUM_DISTANCE_CODES);
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for (i = 0; i < 5; ++i) out->is_used_[i] |= a->is_used_[i];
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}
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}
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#undef ADD
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#undef ADD_EQ
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//------------------------------------------------------------------------------
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// Image transforms.
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@ -51,10 +51,12 @@ static void HistogramCopy(const VP8LHistogram* const src,
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VP8LHistogram* const dst) {
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uint32_t* const dst_literal = dst->literal_;
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const int dst_cache_bits = dst->palette_code_bits_;
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const int literal_size = VP8LHistogramNumCodes(dst_cache_bits);
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const int histo_size = VP8LGetHistogramSize(dst_cache_bits);
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assert(src->palette_code_bits_ == dst_cache_bits);
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memcpy(dst, src, histo_size);
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dst->literal_ = dst_literal;
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memcpy(dst->literal_, src->literal_, literal_size * sizeof(*dst->literal_));
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}
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int VP8LGetHistogramSize(int cache_bits) {
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@ -237,7 +239,8 @@ static double FinalHuffmanCost(const VP8LStreaks* const stats) {
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// Get the symbol entropy for the distribution 'population'.
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// Set 'trivial_sym', if there's only one symbol present in the distribution.
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static double PopulationCost(const uint32_t* const population, int length,
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uint32_t* const trivial_sym) {
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uint32_t* const trivial_sym,
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uint8_t* const is_used) {
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VP8LBitEntropy bit_entropy;
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VP8LStreaks stats;
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VP8LGetEntropyUnrefined(population, length, &bit_entropy, &stats);
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@ -245,6 +248,8 @@ static double PopulationCost(const uint32_t* const population, int length,
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*trivial_sym = (bit_entropy.nonzeros == 1) ? bit_entropy.nonzero_code
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: VP8L_NON_TRIVIAL_SYM;
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}
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// The histogram is used if there is at least one non-zero streak.
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*is_used = (stats.streaks[1][0] != 0 || stats.streaks[1][1] != 0);
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return BitsEntropyRefine(&bit_entropy) + FinalHuffmanCost(&stats);
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}
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@ -253,7 +258,9 @@ static double PopulationCost(const uint32_t* const population, int length,
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// non-zero: both the zero-th one, or both the last one.
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static WEBP_INLINE double GetCombinedEntropy(const uint32_t* const X,
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const uint32_t* const Y,
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int length, int trivial_at_end) {
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int length, int is_X_used,
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int is_Y_used,
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int trivial_at_end) {
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VP8LStreaks stats;
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if (trivial_at_end) {
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// This configuration is due to palettization that transforms an indexed
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@ -262,28 +269,43 @@ static WEBP_INLINE double GetCombinedEntropy(const uint32_t* const X,
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// Only FinalHuffmanCost needs to be evaluated.
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memset(&stats, 0, sizeof(stats));
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// Deal with the non-zero value at index 0 or length-1.
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stats.streaks[1][0] += 1;
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stats.streaks[1][0] = 1;
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// Deal with the following/previous zero streak.
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stats.counts[0] += 1;
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stats.streaks[0][1] += length - 1;
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stats.counts[0] = 1;
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stats.streaks[0][1] = length - 1;
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return FinalHuffmanCost(&stats);
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} else {
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VP8LBitEntropy bit_entropy;
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if (is_X_used) {
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if (is_Y_used) {
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VP8LGetCombinedEntropyUnrefined(X, Y, length, &bit_entropy, &stats);
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} else {
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VP8LGetEntropyUnrefined(X, length, &bit_entropy, &stats);
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}
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} else {
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if (is_Y_used) {
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VP8LGetEntropyUnrefined(Y, length, &bit_entropy, &stats);
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} else {
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memset(&stats, 0, sizeof(stats));
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stats.counts[0] = 1;
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stats.streaks[0][length > 3] = length;
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VP8LBitEntropyInit(&bit_entropy);
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}
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}
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return BitsEntropyRefine(&bit_entropy) + FinalHuffmanCost(&stats);
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}
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}
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// Estimates the Entropy + Huffman + other block overhead size cost.
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double VP8LHistogramEstimateBits(const VP8LHistogram* const p) {
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double VP8LHistogramEstimateBits(VP8LHistogram* const p) {
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return
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PopulationCost(
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p->literal_, VP8LHistogramNumCodes(p->palette_code_bits_), NULL)
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+ PopulationCost(p->red_, NUM_LITERAL_CODES, NULL)
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+ PopulationCost(p->blue_, NUM_LITERAL_CODES, NULL)
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+ PopulationCost(p->alpha_, NUM_LITERAL_CODES, NULL)
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+ PopulationCost(p->distance_, NUM_DISTANCE_CODES, NULL)
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PopulationCost(p->literal_, VP8LHistogramNumCodes(p->palette_code_bits_),
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NULL, &p->is_used_[0])
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+ PopulationCost(p->red_, NUM_LITERAL_CODES, NULL, &p->is_used_[1])
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+ PopulationCost(p->blue_, NUM_LITERAL_CODES, NULL, &p->is_used_[2])
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+ PopulationCost(p->alpha_, NUM_LITERAL_CODES, NULL, &p->is_used_[3])
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+ PopulationCost(p->distance_, NUM_DISTANCE_CODES, NULL, &p->is_used_[4])
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+ VP8LExtraCost(p->literal_ + NUM_LITERAL_CODES, NUM_LENGTH_CODES)
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+ VP8LExtraCost(p->distance_, NUM_DISTANCE_CODES);
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}
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@ -299,7 +321,8 @@ static int GetCombinedHistogramEntropy(const VP8LHistogram* const a,
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int trivial_at_end = 0;
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assert(a->palette_code_bits_ == b->palette_code_bits_);
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*cost += GetCombinedEntropy(a->literal_, b->literal_,
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VP8LHistogramNumCodes(palette_code_bits), 0);
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VP8LHistogramNumCodes(palette_code_bits),
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a->is_used_[0], b->is_used_[0], 0);
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*cost += VP8LExtraCostCombined(a->literal_ + NUM_LITERAL_CODES,
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b->literal_ + NUM_LITERAL_CODES,
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NUM_LENGTH_CODES);
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@ -319,19 +342,23 @@ static int GetCombinedHistogramEntropy(const VP8LHistogram* const a,
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}
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*cost +=
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GetCombinedEntropy(a->red_, b->red_, NUM_LITERAL_CODES, trivial_at_end);
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GetCombinedEntropy(a->red_, b->red_, NUM_LITERAL_CODES, a->is_used_[1],
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b->is_used_[1], trivial_at_end);
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if (*cost > cost_threshold) return 0;
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*cost +=
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GetCombinedEntropy(a->blue_, b->blue_, NUM_LITERAL_CODES, trivial_at_end);
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if (*cost > cost_threshold) return 0;
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*cost += GetCombinedEntropy(a->alpha_, b->alpha_, NUM_LITERAL_CODES,
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trivial_at_end);
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GetCombinedEntropy(a->blue_, b->blue_, NUM_LITERAL_CODES, a->is_used_[2],
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b->is_used_[2], trivial_at_end);
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if (*cost > cost_threshold) return 0;
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*cost +=
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GetCombinedEntropy(a->distance_, b->distance_, NUM_DISTANCE_CODES, 0);
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GetCombinedEntropy(a->alpha_, b->alpha_, NUM_LITERAL_CODES,
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a->is_used_[3], b->is_used_[3], trivial_at_end);
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if (*cost > cost_threshold) return 0;
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*cost +=
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GetCombinedEntropy(a->distance_, b->distance_, NUM_DISTANCE_CODES,
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a->is_used_[4], b->is_used_[4], 0);
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*cost +=
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VP8LExtraCostCombined(a->distance_, b->distance_, NUM_DISTANCE_CODES);
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if (*cost > cost_threshold) return 0;
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@ -419,16 +446,19 @@ static void UpdateDominantCostRange(
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static void UpdateHistogramCost(VP8LHistogram* const h) {
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uint32_t alpha_sym, red_sym, blue_sym;
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const double alpha_cost =
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PopulationCost(h->alpha_, NUM_LITERAL_CODES, &alpha_sym);
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PopulationCost(h->alpha_, NUM_LITERAL_CODES, &alpha_sym,
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&h->is_used_[3]);
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const double distance_cost =
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PopulationCost(h->distance_, NUM_DISTANCE_CODES, NULL) +
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PopulationCost(h->distance_, NUM_DISTANCE_CODES, NULL, &h->is_used_[4]) +
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VP8LExtraCost(h->distance_, NUM_DISTANCE_CODES);
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const int num_codes = VP8LHistogramNumCodes(h->palette_code_bits_);
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h->literal_cost_ = PopulationCost(h->literal_, num_codes, NULL) +
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VP8LExtraCost(h->literal_ + NUM_LITERAL_CODES,
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NUM_LENGTH_CODES);
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h->red_cost_ = PopulationCost(h->red_, NUM_LITERAL_CODES, &red_sym);
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h->blue_cost_ = PopulationCost(h->blue_, NUM_LITERAL_CODES, &blue_sym);
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h->literal_cost_ =
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PopulationCost(h->literal_, num_codes, NULL, &h->is_used_[0]) +
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VP8LExtraCost(h->literal_ + NUM_LITERAL_CODES, NUM_LENGTH_CODES);
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h->red_cost_ =
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PopulationCost(h->red_, NUM_LITERAL_CODES, &red_sym, &h->is_used_[1]);
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h->blue_cost_ =
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PopulationCost(h->blue_, NUM_LITERAL_CODES, &blue_sym, &h->is_used_[2]);
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h->bit_cost_ = h->literal_cost_ + h->red_cost_ + h->blue_cost_ +
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alpha_cost + distance_cost;
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if ((alpha_sym | red_sym | blue_sym) == VP8L_NON_TRIVIAL_SYM) {
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@ -493,11 +523,19 @@ static void HistogramCopyAndAnalyze(
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const int histo_size = orig_histo->size;
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VP8LHistogram** const orig_histograms = orig_histo->histograms;
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VP8LHistogram** const histograms = image_histo->histograms;
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image_histo->size = 0;
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for (i = 0; i < histo_size; ++i) {
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VP8LHistogram* const histo = orig_histograms[i];
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UpdateHistogramCost(histo);
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// Skip the histogram if it is completely empty, which can happen for tiles
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// with no information (when they are skipped because of LZ77).
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if (!histo->is_used_[0] && !histo->is_used_[1] && !histo->is_used_[2]
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&& !histo->is_used_[3] && !histo->is_used_[4]) {
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continue;
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}
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// Copy histograms from orig_histo[] to image_histo[].
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HistogramCopy(histo, histograms[i]);
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HistogramCopy(histo, histograms[image_histo->size++]);
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}
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}
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@ -987,8 +1025,7 @@ int VP8LGetHistoImageSymbols(int xsize, int ysize,
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// histograms of small sizes (as bin_map will be very sparse) and
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// maximum quality q==100 (to preserve the compression gains at that level).
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const int entropy_combine_num_bins = low_effort ? NUM_PARTITIONS : BIN_SIZE;
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const int entropy_combine =
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(orig_histo->size > entropy_combine_num_bins * 2) && (quality < 100);
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int entropy_combine;
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if (orig_histo == NULL) goto Error;
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@ -996,15 +1033,16 @@ int VP8LGetHistoImageSymbols(int xsize, int ysize,
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HistogramBuild(xsize, histo_bits, refs, orig_histo);
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// Copies the histograms and computes its bit_cost.
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HistogramCopyAndAnalyze(orig_histo, image_histo);
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entropy_combine =
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(image_histo->size > entropy_combine_num_bins * 2) && (quality < 100);
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if (entropy_combine) {
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const int bin_map_size = orig_histo->size;
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const int bin_map_size = image_histo->size;
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// Reuse histogram_symbols storage. By definition, it's guaranteed to be ok.
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uint16_t* const bin_map = histogram_symbols;
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const double combine_cost_factor =
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GetCombineCostFactor(image_histo_raw_size, quality);
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HistogramAnalyzeEntropyBin(orig_histo, bin_map, low_effort);
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HistogramAnalyzeEntropyBin(image_histo, bin_map, low_effort);
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// Collapse histograms with similar entropy.
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HistogramCombineEntropyBin(image_histo, tmp_histo, bin_map, bin_map_size,
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entropy_combine_num_bins, combine_cost_factor,
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@ -44,6 +44,7 @@ typedef struct {
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double literal_cost_; // Cached values of dominant entropy costs:
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double red_cost_; // literal, red & blue.
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double blue_cost_;
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uint8_t is_used_[5]; // 5 for literal, red, blue, alpha, distance
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} VP8LHistogram;
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// Collection of histograms with fixed capacity, allocated as one
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@ -113,7 +114,7 @@ double VP8LBitsEntropy(const uint32_t* const array, int n);
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// Estimate how many bits the combined entropy of literals and distance
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// approximately maps to.
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double VP8LHistogramEstimateBits(const VP8LHistogram* const p);
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double VP8LHistogramEstimateBits(VP8LHistogram* const p);
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#ifdef __cplusplus
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}
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