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Favor keeping the areas locally similar in spatial prediction mode selection
About 0.1% compression improvement. Change-Id: If106ab209cc2671ef282b726e09ff2971c3e4abf
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@ -20,6 +20,7 @@
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#define MAX_DIFF_COST (1e30f)
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#define MAX_DIFF_COST (1e30f)
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static const float kSpatialPredictorBias = 15.f;
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static const int kPredLowEffort = 11;
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static const int kPredLowEffort = 11;
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static const uint32_t kMaskAlpha = 0xff000000;
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static const uint32_t kMaskAlpha = 0xff000000;
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@ -256,7 +257,8 @@ static int GetBestPredictorForTile(int width, int height,
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uint32_t* const argb_scratch,
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uint32_t* const argb_scratch,
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const uint32_t* const argb,
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const uint32_t* const argb,
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int max_quantization,
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int max_quantization,
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int exact, int used_subtract_green) {
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int exact, int used_subtract_green,
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const uint32_t* const modes) {
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const int kNumPredModes = 14;
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const int kNumPredModes = 14;
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const int start_x = tile_x << bits;
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const int start_x = tile_x << bits;
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const int start_y = tile_y << bits;
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const int start_y = tile_y << bits;
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@ -270,6 +272,12 @@ static int GetBestPredictorForTile(int width, int height,
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// they exist.
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// they exist.
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const int context_start_x = start_x - have_left;
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const int context_start_x = start_x - have_left;
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const int context_width = max_x + have_left + have_right;
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const int context_width = max_x + have_left + have_right;
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const int tiles_per_row = VP8LSubSampleSize(width, bits);
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// Prediction modes of the left and above neighbor tiles.
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const int left_mode = (tile_x > 0) ?
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(modes[tile_y * tiles_per_row + tile_x - 1] >> 8) & 0xff : 0xff;
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const int above_mode = (tile_y > 0) ?
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(modes[(tile_y - 1) * tiles_per_row + tile_x] >> 8) & 0xff : 0xff;
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// The width of upper_row and current_row is one pixel larger than image width
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// The width of upper_row and current_row is one pixel larger than image width
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// to allow the top right pixel to point to the leftmost pixel of the next row
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// to allow the top right pixel to point to the leftmost pixel of the next row
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// when at the right edge.
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// when at the right edge.
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@ -328,6 +336,10 @@ static int GetBestPredictorForTile(int width, int height,
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}
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}
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cur_diff = PredictionCostSpatialHistogram(
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cur_diff = PredictionCostSpatialHistogram(
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(const int (*)[256])accumulated, (const int (*)[256])histo_argb);
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(const int (*)[256])accumulated, (const int (*)[256])histo_argb);
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// Favor keeping the areas locally similar.
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if (mode == left_mode) cur_diff -= kSpatialPredictorBias;
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if (mode == above_mode) cur_diff -= kSpatialPredictorBias;
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if (cur_diff < best_diff) {
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if (cur_diff < best_diff) {
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int (*tmp)[256] = histo_argb;
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int (*tmp)[256] = histo_argb;
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histo_argb = best_histo;
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histo_argb = best_histo;
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@ -434,7 +446,7 @@ void VP8LResidualImage(int width, int height, int bits, int low_effort,
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for (tile_x = 0; tile_x < tiles_per_row; ++tile_x) {
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for (tile_x = 0; tile_x < tiles_per_row; ++tile_x) {
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const int pred = GetBestPredictorForTile(width, height, tile_x, tile_y,
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const int pred = GetBestPredictorForTile(width, height, tile_x, tile_y,
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bits, histo, argb_scratch, argb, max_quantization, exact,
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bits, histo, argb_scratch, argb, max_quantization, exact,
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used_subtract_green);
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used_subtract_green, image);
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image[tile_y * tiles_per_row + tile_x] = ARGB_BLACK | (pred << 8);
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image[tile_y * tiles_per_row + tile_x] = ARGB_BLACK | (pred << 8);
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}
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}
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}
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}
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