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Merge "Refactor GetBestPredictorForTile for future tuning."
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e3dd9243cb
@ -541,15 +541,14 @@ static const PredictorFunc kPredictors[16] = {
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Predictor0, Predictor0 // <- padding security sentinels
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};
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// TODO(vikasa): Replace 256 etc with defines.
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static float PredictionCostSpatial(const int* counts,
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int weight_0, double exp_val) {
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const int significant_symbols = 16;
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static float PredictionCostSpatial(const int* const counts, int weight_0,
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double exp_val, int n) {
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const int significant_symbols = n >> 4;
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const double exp_decay_factor = 0.6;
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double bits = weight_0 * counts[0];
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int i;
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for (i = 1; i < significant_symbols; ++i) {
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bits += exp_val * (counts[i] + counts[256 - i]);
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bits += exp_val * (counts[i] + counts[n - i]);
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exp_val *= exp_decay_factor;
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}
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return (float)(-0.1 * bits);
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@ -563,12 +562,13 @@ static float CombinedShannonEntropy(const int* const X,
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int sumX = 0, sumXY = 0;
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for (i = 0; i < n; ++i) {
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const int x = X[i];
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const int xy = X[i] + Y[i];
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const int xy = x + Y[i];
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if (x != 0) {
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sumX += x;
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retval -= VP8LFastSLog2(x);
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}
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if (xy != 0) {
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sumXY += xy;
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retval -= VP8LFastSLog2(xy);
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} else if (xy != 0) {
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sumXY += xy;
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retval -= VP8LFastSLog2(xy);
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}
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@ -577,48 +577,53 @@ static float CombinedShannonEntropy(const int* const X,
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return (float)retval;
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}
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static float PredictionCostSpatialHistogram(int accumulated[4][256],
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int tile[4][256]) {
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static float PredictionCostSpatialHistogram(const int accumulated[4][256],
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const int tile[4][256]) {
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int i;
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double retval = 0;
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for (i = 0; i < 4; ++i) {
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const double kExpValue = 0.94;
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retval += PredictionCostSpatial(tile[i], 1, kExpValue);
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retval += PredictionCostSpatial(tile[i], 1, kExpValue, 256);
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retval += CombinedShannonEntropy(tile[i], accumulated[i], 256);
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}
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return (float)retval;
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}
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static WEBP_INLINE void UpdateHisto(int histo_argb[4][256], uint32_t argb) {
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++histo_argb[0][argb >> 24];
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++histo_argb[1][(argb >> 16) & 0xff];
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++histo_argb[2][(argb >> 8) & 0xff];
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++histo_argb[3][argb & 0xff];
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}
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static int GetBestPredictorForTile(int width, int height,
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int tile_x, int tile_y, int bits,
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int accumulated[4][256],
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const int accumulated[4][256],
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const uint32_t* const argb_scratch) {
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const int kNumPredModes = 14;
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const int col_start = tile_x << bits;
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const int row_start = tile_y << bits;
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const int tile_size = 1 << bits;
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const int ymax = GetMin(tile_size, height - row_start);
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const int xmax = GetMin(tile_size, width - col_start);
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int histo[4][256];
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const int max_y = GetMin(tile_size, height - row_start);
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const int max_x = GetMin(tile_size, width - col_start);
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float best_diff = MAX_DIFF_COST;
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int best_mode = 0;
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int mode;
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for (mode = 0; mode < kNumPredModes; ++mode) {
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const uint32_t* current_row = argb_scratch;
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const PredictorFunc pred_func = kPredictors[mode];
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float cur_diff;
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int y;
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memset(&histo[0][0], 0, sizeof(histo));
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for (y = 0; y < ymax; ++y) {
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int histo_argb[4][256];
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memset(histo_argb, 0, sizeof(histo_argb));
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for (y = 0; y < max_y; ++y) {
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int x;
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const int row = row_start + y;
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const uint32_t* const upper_row = current_row;
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current_row = upper_row + width;
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for (x = 0; x < xmax; ++x) {
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for (x = 0; x < max_x; ++x) {
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const int col = col_start + x;
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uint32_t predict;
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uint32_t predict_diff;
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if (row == 0) {
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predict = (col == 0) ? ARGB_BLACK : current_row[col - 1]; // Left.
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} else if (col == 0) {
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@ -626,14 +631,11 @@ static int GetBestPredictorForTile(int width, int height,
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} else {
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predict = pred_func(current_row[col - 1], upper_row + col);
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}
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predict_diff = VP8LSubPixels(current_row[col], predict);
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++histo[0][predict_diff >> 24];
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++histo[1][((predict_diff >> 16) & 0xff)];
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++histo[2][((predict_diff >> 8) & 0xff)];
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++histo[3][(predict_diff & 0xff)];
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UpdateHisto(histo_argb, VP8LSubPixels(current_row[col], predict));
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}
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}
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cur_diff = PredictionCostSpatialHistogram(accumulated, histo);
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cur_diff = PredictionCostSpatialHistogram(
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accumulated, (const int (*)[256])histo_argb);
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if (cur_diff < best_diff) {
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best_diff = cur_diff;
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best_mode = mode;
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@ -650,18 +652,18 @@ static void CopyTileWithPrediction(int width, int height,
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const int col_start = tile_x << bits;
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const int row_start = tile_y << bits;
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const int tile_size = 1 << bits;
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const int ymax = GetMin(tile_size, height - row_start);
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const int xmax = GetMin(tile_size, width - col_start);
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const int max_y = GetMin(tile_size, height - row_start);
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const int max_x = GetMin(tile_size, width - col_start);
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const PredictorFunc pred_func = kPredictors[mode];
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const uint32_t* current_row = argb_scratch;
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int y;
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for (y = 0; y < ymax; ++y) {
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for (y = 0; y < max_y; ++y) {
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int x;
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const int row = row_start + y;
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const uint32_t* const upper_row = current_row;
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current_row = upper_row + width;
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for (x = 0; x < xmax; ++x) {
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for (x = 0; x < max_x; ++x) {
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const int col = col_start + x;
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const int pix = row * width + col;
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uint32_t predict;
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@ -707,7 +709,8 @@ void VP8LResidualImage(int width, int height, int bits,
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if (all_x_max > width) {
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all_x_max = width;
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}
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pred = GetBestPredictorForTile(width, height, tile_x, tile_y, bits, histo,
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pred = GetBestPredictorForTile(width, height, tile_x, tile_y, bits,
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(const int (*)[256])histo,
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argb_scratch);
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image[tile_y * tiles_per_row + tile_x] = 0xff000000u | (pred << 8);
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CopyTileWithPrediction(width, height, tile_x, tile_y, bits, pred,
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@ -721,11 +724,7 @@ void VP8LResidualImage(int width, int height, int bits,
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}
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ix = all_y * width + tile_x_offset;
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for (all_x = tile_x_offset; all_x < all_x_max; ++all_x, ++ix) {
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const uint32_t a = argb[ix];
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++histo[0][a >> 24];
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++histo[1][((a >> 16) & 0xff)];
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++histo[2][((a >> 8) & 0xff)];
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++histo[3][(a & 0xff)];
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UpdateHisto(histo, argb[ix]);
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}
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}
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}
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@ -905,13 +904,13 @@ static float PredictionCostCrossColor(const int accumulated[256],
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// Favor small absolute values for PredictionCostSpatial
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static const double kExpValue = 2.4;
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return CombinedShannonEntropy(counts, accumulated, 256) +
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PredictionCostSpatial(counts, 3, kExpValue);
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PredictionCostSpatial(counts, 3, kExpValue, 256);
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}
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static float GetPredictionCostCrossColorRed(
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int tile_x_offset, int tile_y_offset, int all_x_max, int all_y_max,
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int xsize, Multipliers prev_x, Multipliers prev_y, int green_to_red,
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const int* const accumulated_red_histo, const uint32_t* const argb) {
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const int accumulated_red_histo[256], const uint32_t* const argb) {
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int all_y;
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int histo[256] = { 0 };
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float cur_diff;
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@ -925,7 +924,7 @@ static float GetPredictionCostCrossColorRed(
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++histo[TransformColorRed(green_to_red, argb[ix])]; // red.
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}
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}
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cur_diff = PredictionCostCrossColor(&accumulated_red_histo[0], &histo[0]);
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cur_diff = PredictionCostCrossColor(accumulated_red_histo, histo);
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if ((uint8_t)green_to_red == prev_x.green_to_red_) {
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cur_diff -= 3; // favor keeping the areas locally similar
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}
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@ -941,7 +940,7 @@ static float GetPredictionCostCrossColorRed(
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static void GetBestGreenToRed(
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int tile_x_offset, int tile_y_offset, int all_x_max, int all_y_max,
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int xsize, Multipliers prev_x, Multipliers prev_y,
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const int* const accumulated_red_histo, const uint32_t* const argb,
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const int accumulated_red_histo[256], const uint32_t* const argb,
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Multipliers* best_tx) {
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int min_green_to_red = -64;
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int max_green_to_red = 64;
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@ -955,13 +954,13 @@ static void GetBestGreenToRed(
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if (eval_min) {
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cur_diff_min = GetPredictionCostCrossColorRed(
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tile_x_offset, tile_y_offset, all_x_max, all_y_max, xsize,
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prev_x, prev_y, min_green_to_red, &accumulated_red_histo[0], argb);
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prev_x, prev_y, min_green_to_red, accumulated_red_histo, argb);
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eval_min = 0;
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}
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if (eval_max) {
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cur_diff_max = GetPredictionCostCrossColorRed(
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tile_x_offset, tile_y_offset, all_x_max, all_y_max, xsize,
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prev_x, prev_y, max_green_to_red, &accumulated_red_histo[0], argb);
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prev_x, prev_y, max_green_to_red, accumulated_red_histo, argb);
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eval_max = 0;
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}
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if (cur_diff_min < cur_diff_max) {
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@ -980,7 +979,7 @@ static void GetBestGreenToRed(
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static float GetPredictionCostCrossColorBlue(
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int tile_x_offset, int tile_y_offset, int all_x_max, int all_y_max,
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int xsize, Multipliers prev_x, Multipliers prev_y, int green_to_blue,
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int red_to_blue, const int* const accumulated_blue_histo,
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int red_to_blue, const int accumulated_blue_histo[256],
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const uint32_t* const argb) {
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int all_y;
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int histo[256] = { 0 };
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@ -995,7 +994,7 @@ static float GetPredictionCostCrossColorBlue(
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++histo[TransformColorBlue(green_to_blue, red_to_blue, argb[ix])];
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}
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}
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cur_diff = PredictionCostCrossColor(&accumulated_blue_histo[0], &histo[0]);
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cur_diff = PredictionCostCrossColor(accumulated_blue_histo, histo);
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if ((uint8_t)green_to_blue == prev_x.green_to_blue_) {
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cur_diff -= 3; // favor keeping the areas locally similar
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}
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@ -1020,7 +1019,7 @@ static float GetPredictionCostCrossColorBlue(
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static void GetBestGreenRedToBlue(
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int tile_x_offset, int tile_y_offset, int all_x_max, int all_y_max,
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int xsize, Multipliers prev_x, Multipliers prev_y, int quality,
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const int* const accumulated_blue_histo, const uint32_t* const argb,
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const int accumulated_blue_histo[256], const uint32_t* const argb,
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Multipliers* best_tx) {
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float best_diff = MAX_DIFF_COST;
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float cur_diff;
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@ -1048,7 +1047,7 @@ static void GetBestGreenRedToBlue(
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red_to_blue += step) {
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cur_diff = GetPredictionCostCrossColorBlue(
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tile_x_offset, tile_y_offset, all_x_max, all_y_max, xsize, prev_x,
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prev_y, green_to_blue, red_to_blue, &accumulated_blue_histo[0], argb);
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prev_y, green_to_blue, red_to_blue, accumulated_blue_histo, argb);
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if (cur_diff < best_diff) {
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best_diff = cur_diff;
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best_tx->green_to_blue_ = green_to_blue;
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@ -1066,8 +1065,8 @@ static Multipliers GetBestColorTransformForTile(
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Multipliers prev_x,
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Multipliers prev_y,
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int quality, int xsize, int ysize,
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const int* const accumulated_red_histo,
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const int* const accumulated_blue_histo,
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const int accumulated_red_histo[256],
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const int accumulated_blue_histo[256],
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const uint32_t* const argb) {
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const int max_tile_size = 1 << bits;
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const int tile_y_offset = tile_y * max_tile_size;
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@ -1078,10 +1077,10 @@ static Multipliers GetBestColorTransformForTile(
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MultipliersClear(&best_tx);
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GetBestGreenToRed(tile_x_offset, tile_y_offset, all_x_max, all_y_max, xsize,
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prev_x, prev_y, &accumulated_red_histo[0], argb, &best_tx);
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prev_x, prev_y, accumulated_red_histo, argb, &best_tx);
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GetBestGreenRedToBlue(tile_x_offset, tile_y_offset, all_x_max, all_y_max,
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xsize, prev_x, prev_y, quality,
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&accumulated_blue_histo[0], argb, &best_tx);
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xsize, prev_x, prev_y, quality, accumulated_blue_histo,
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argb, &best_tx);
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return best_tx;
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}
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@ -1127,8 +1126,8 @@ void VP8LColorSpaceTransform(int width, int height, int bits, int quality,
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prev_x = GetBestColorTransformForTile(tile_x, tile_y, bits,
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prev_x, prev_y,
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quality, width, height,
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&accumulated_red_histo[0],
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&accumulated_blue_histo[0],
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accumulated_red_histo,
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accumulated_blue_histo,
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argb);
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image[offset] = MultipliersToColorCode(&prev_x);
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CopyTileWithColorTransform(width, height, tile_x_offset, tile_y_offset,
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