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https://github.com/webmproject/libwebp.git
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Make the lossless predictors work on a batch of pixels.
Change-Id: Ieaee34f1f97c375b9e97ef7e9df60aed353dffa1
This commit is contained in:
parent
bc18ebad2e
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@ -27,11 +27,6 @@
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//------------------------------------------------------------------------------
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// Image transforms.
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// In-place sum of each component with mod 256.
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static WEBP_INLINE void AddPixelsEq(uint32_t* a, uint32_t b) {
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*a = VP8LAddPixels(*a, b);
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}
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static WEBP_INLINE uint32_t Average2(uint32_t a0, uint32_t a1) {
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return (((a0 ^ a1) & 0xfefefefeu) >> 1) + (a0 & a1);
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}
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@ -172,21 +167,33 @@ static uint32_t Predictor13(uint32_t left, const uint32_t* const top) {
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return pred;
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}
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GENERATE_PREDICTOR_ADD(0)
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GENERATE_PREDICTOR_ADD(1)
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GENERATE_PREDICTOR_ADD(2)
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GENERATE_PREDICTOR_ADD(3)
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GENERATE_PREDICTOR_ADD(4)
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GENERATE_PREDICTOR_ADD(5)
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GENERATE_PREDICTOR_ADD(6)
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GENERATE_PREDICTOR_ADD(7)
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GENERATE_PREDICTOR_ADD(8)
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GENERATE_PREDICTOR_ADD(9)
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GENERATE_PREDICTOR_ADD(10)
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GENERATE_PREDICTOR_ADD(11)
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GENERATE_PREDICTOR_ADD(12)
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GENERATE_PREDICTOR_ADD(13)
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//------------------------------------------------------------------------------
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// Inverse prediction.
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static void PredictorInverseTransform(const VP8LTransform* const transform,
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int y_start, int y_end, uint32_t* data) {
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int y_start, int y_end,
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const uint32_t* in, uint32_t* out) {
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const int width = transform->xsize_;
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if (y_start == 0) { // First Row follows the L (mode=1) mode.
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int x;
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const uint32_t pred0 = Predictor0(data[-1], NULL);
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AddPixelsEq(data, pred0);
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for (x = 1; x < width; ++x) {
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const uint32_t pred1 = Predictor1(data[x - 1], NULL);
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AddPixelsEq(data + x, pred1);
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}
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data += width;
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PredictorAdd0(in, NULL, 1, out);
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PredictorAdd1(in + 1, NULL, width - 1, out + 1);
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in += width;
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out += width;
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++y_start;
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}
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@ -194,36 +201,26 @@ static void PredictorInverseTransform(const VP8LTransform* const transform,
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int y = y_start;
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const int tile_width = 1 << transform->bits_;
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const int mask = tile_width - 1;
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const int safe_width = width & ~mask;
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const int tiles_per_row = VP8LSubSampleSize(width, transform->bits_);
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const uint32_t* pred_mode_base =
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transform->data_ + (y >> transform->bits_) * tiles_per_row;
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while (y < y_end) {
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const uint32_t pred2 = Predictor2(data[-1], data - width);
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const uint32_t* pred_mode_src = pred_mode_base;
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VP8LPredictorFunc pred_func;
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int x = 1;
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int t = 1;
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// First pixel follows the T (mode=2) mode.
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AddPixelsEq(data, pred2);
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PredictorAdd2(in, out - width, 1, out);
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// .. the rest:
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while (x < safe_width) {
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pred_func = VP8LPredictors[((*pred_mode_src++) >> 8) & 0xf];
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for (; t < tile_width; ++t, ++x) {
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const uint32_t pred = pred_func(data[x - 1], data + x - width);
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AddPixelsEq(data + x, pred);
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}
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t = 0;
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while (x < width) {
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const VP8LPredictorAddSubFunc pred_func =
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VP8LPredictorsAdd[((*pred_mode_src++) >> 8) & 0xf];
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int x_end = (x & ~mask) + tile_width;
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if (x_end > width) x_end = width;
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pred_func(in + x, out + x - width, x_end - x, out + x);
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x = x_end;
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}
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if (x < width) {
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pred_func = VP8LPredictors[((*pred_mode_src++) >> 8) & 0xf];
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for (; x < width; ++x) {
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const uint32_t pred = pred_func(data[x - 1], data + x - width);
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AddPixelsEq(data + x, pred);
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}
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}
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data += width;
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in += width;
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out += width;
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++y;
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if ((y & mask) == 0) { // Use the same mask, since tiles are squares.
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pred_mode_base += tiles_per_row;
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@ -375,11 +372,7 @@ void VP8LInverseTransform(const VP8LTransform* const transform,
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VP8LAddGreenToBlueAndRed(in, (row_end - row_start) * width, out);
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break;
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case PREDICTOR_TRANSFORM:
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// TODO(vrabaud): parallelize transform predictors.
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if (in != out) {
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memcpy(out, in, (row_end - row_start) * width * sizeof(*out));
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}
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PredictorInverseTransform(transform, row_start, row_end, out);
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PredictorInverseTransform(transform, row_start, row_end, in, out);
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if (row_end != transform->ysize_) {
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// The last predicted row in this iteration will be the top-pred row
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// for the first row in next iteration.
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@ -566,6 +559,7 @@ void VP8LConvertFromBGRA(const uint32_t* const in_data, int num_pixels,
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//------------------------------------------------------------------------------
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VP8LProcessDecBlueAndRedFunc VP8LAddGreenToBlueAndRed;
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VP8LPredictorAddSubFunc VP8LPredictorsAdd[16];
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VP8LPredictorFunc VP8LPredictors[16];
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VP8LTransformColorInverseFunc VP8LTransformColorInverse;
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@ -607,6 +601,23 @@ WEBP_TSAN_IGNORE_FUNCTION void VP8LDspInit(void) {
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VP8LPredictors[14] = Predictor0; // <- padding security sentinels
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VP8LPredictors[15] = Predictor0;
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VP8LPredictorsAdd[0] = PredictorAdd0;
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VP8LPredictorsAdd[1] = PredictorAdd1;
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VP8LPredictorsAdd[2] = PredictorAdd2;
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VP8LPredictorsAdd[3] = PredictorAdd3;
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VP8LPredictorsAdd[4] = PredictorAdd4;
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VP8LPredictorsAdd[5] = PredictorAdd5;
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VP8LPredictorsAdd[6] = PredictorAdd6;
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VP8LPredictorsAdd[7] = PredictorAdd7;
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VP8LPredictorsAdd[8] = PredictorAdd8;
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VP8LPredictorsAdd[9] = PredictorAdd9;
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VP8LPredictorsAdd[10] = PredictorAdd10;
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VP8LPredictorsAdd[11] = PredictorAdd11;
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VP8LPredictorsAdd[12] = PredictorAdd12;
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VP8LPredictorsAdd[13] = PredictorAdd13;
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VP8LPredictorsAdd[14] = PredictorAdd0; // <- padding security sentinels
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VP8LPredictorsAdd[15] = PredictorAdd0;
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VP8LAddGreenToBlueAndRed = VP8LAddGreenToBlueAndRed_C;
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VP8LTransformColorInverse = VP8LTransformColorInverse_C;
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@ -34,6 +34,10 @@ extern "C" {
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typedef uint32_t (*VP8LPredictorFunc)(uint32_t left, const uint32_t* const top);
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extern VP8LPredictorFunc VP8LPredictors[16];
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typedef void (*VP8LPredictorAddSubFunc)(const uint32_t* in,
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const uint32_t* upper, int num_pixels,
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uint32_t* out);
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extern VP8LPredictorAddSubFunc VP8LPredictorsAdd[16];
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typedef void (*VP8LProcessDecBlueAndRedFunc)(const uint32_t* src,
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int num_pixels, uint32_t* dst);
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@ -143,6 +147,8 @@ void VP8LCollectColorBlueTransforms_C(const uint32_t* argb, int stride,
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int green_to_blue, int red_to_blue,
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int histo[]);
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extern VP8LPredictorAddSubFunc VP8LPredictorsSub[16];
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// -----------------------------------------------------------------------------
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// Huffman-cost related functions.
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@ -174,6 +174,34 @@ uint32_t VP8LSubPixels(uint32_t a, uint32_t b) {
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}
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//------------------------------------------------------------------------------
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// Transform-related functions use din both encoding and decoding.
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// Macros used to create a batch predictor that iteratively uses a
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// one-pixel predictor.
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// The predictor is added to the output pixel (which
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// is therefore considered as a residual) to get the final prediction.
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#define GENERATE_PREDICTOR_ADD(X) \
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static void PredictorAdd##X(const uint32_t* in, const uint32_t* upper, \
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int num_pixels, uint32_t* out) { \
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int x; \
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for (x = 0; x < num_pixels; ++x) { \
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const uint32_t pred = VP8LPredictors[(X)](out[x - 1], upper + x); \
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out[x] = VP8LAddPixels(in[x], pred); \
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} \
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}
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// It subtracts the prediction from the input pixel and stores the residual
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// in the output pixel.
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#define GENERATE_PREDICTOR_SUB(X) \
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static void PredictorSub##X(const uint32_t* in, const uint32_t* upper, \
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int num_pixels, uint32_t* out) { \
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int x; \
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for (x = 0; x < num_pixels; ++x) { \
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const uint32_t pred = VP8LPredictors[(X)](in[x - 1], upper + x); \
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out[x] = VP8LSubPixels(in[x], pred); \
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} \
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}
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#ifdef __cplusplus
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} // extern "C"
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@ -665,6 +665,21 @@ static void HistogramAdd(const VP8LHistogram* const a,
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//------------------------------------------------------------------------------
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GENERATE_PREDICTOR_SUB(0)
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GENERATE_PREDICTOR_SUB(1)
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GENERATE_PREDICTOR_SUB(2)
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GENERATE_PREDICTOR_SUB(3)
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GENERATE_PREDICTOR_SUB(4)
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GENERATE_PREDICTOR_SUB(5)
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GENERATE_PREDICTOR_SUB(6)
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GENERATE_PREDICTOR_SUB(7)
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GENERATE_PREDICTOR_SUB(8)
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GENERATE_PREDICTOR_SUB(9)
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GENERATE_PREDICTOR_SUB(10)
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GENERATE_PREDICTOR_SUB(11)
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GENERATE_PREDICTOR_SUB(12)
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GENERATE_PREDICTOR_SUB(13)
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VP8LProcessEncBlueAndRedFunc VP8LSubtractGreenFromBlueAndRed;
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VP8LTransformColorFunc VP8LTransformColor;
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@ -686,6 +701,8 @@ VP8LHistogramAddFunc VP8LHistogramAdd;
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VP8LVectorMismatchFunc VP8LVectorMismatch;
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VP8LPredictorAddSubFunc VP8LPredictorsSub[16];
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extern void VP8LEncDspInitSSE2(void);
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extern void VP8LEncDspInitSSE41(void);
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extern void VP8LEncDspInitNEON(void);
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@ -722,6 +739,23 @@ WEBP_TSAN_IGNORE_FUNCTION void VP8LEncDspInit(void) {
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VP8LVectorMismatch = VectorMismatch;
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VP8LPredictorsSub[0] = PredictorSub0;
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VP8LPredictorsSub[1] = PredictorSub1;
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VP8LPredictorsSub[2] = PredictorSub2;
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VP8LPredictorsSub[3] = PredictorSub3;
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VP8LPredictorsSub[4] = PredictorSub4;
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VP8LPredictorsSub[5] = PredictorSub5;
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VP8LPredictorsSub[6] = PredictorSub6;
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VP8LPredictorsSub[7] = PredictorSub7;
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VP8LPredictorsSub[8] = PredictorSub8;
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VP8LPredictorsSub[9] = PredictorSub9;
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VP8LPredictorsSub[10] = PredictorSub10;
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VP8LPredictorsSub[11] = PredictorSub11;
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VP8LPredictorsSub[12] = PredictorSub12;
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VP8LPredictorsSub[13] = PredictorSub13;
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VP8LPredictorsSub[14] = PredictorSub0; // <- padding security sentinels
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VP8LPredictorsSub[15] = PredictorSub0;
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// If defined, use CPUInfo() to overwrite some pointers with faster versions.
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if (VP8GetCPUInfo != NULL) {
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#if defined(WEBP_USE_SSE2)
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@ -17,6 +17,7 @@
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#include "./common_sse2.h"
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#include "./lossless.h"
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#include "./lossless_common.h"
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#include <assert.h>
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#include <emmintrin.h>
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@ -154,6 +155,17 @@ static uint32_t Predictor13(uint32_t left, const uint32_t* const top) {
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return pred;
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}
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// TODO(vrabaud): implement those functions in SSE.
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GENERATE_PREDICTOR_ADD(5)
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GENERATE_PREDICTOR_ADD(6)
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GENERATE_PREDICTOR_ADD(7)
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GENERATE_PREDICTOR_ADD(8)
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GENERATE_PREDICTOR_ADD(9)
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GENERATE_PREDICTOR_ADD(10)
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GENERATE_PREDICTOR_ADD(11)
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GENERATE_PREDICTOR_ADD(12)
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GENERATE_PREDICTOR_ADD(13)
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//------------------------------------------------------------------------------
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// Subtract-Green Transform
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@ -394,6 +406,16 @@ WEBP_TSAN_IGNORE_FUNCTION void VP8LDspInitSSE2(void) {
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VP8LPredictors[12] = Predictor12;
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VP8LPredictors[13] = Predictor13;
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VP8LPredictorsAdd[5] = PredictorAdd5;
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VP8LPredictorsAdd[6] = PredictorAdd6;
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VP8LPredictorsAdd[7] = PredictorAdd7;
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VP8LPredictorsAdd[8] = PredictorAdd8;
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VP8LPredictorsAdd[9] = PredictorAdd9;
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VP8LPredictorsAdd[10] = PredictorAdd10;
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VP8LPredictorsAdd[11] = PredictorAdd11;
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VP8LPredictorsAdd[12] = PredictorAdd12;
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VP8LPredictorsAdd[13] = PredictorAdd13;
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VP8LAddGreenToBlueAndRed = AddGreenToBlueAndRed;
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VP8LTransformColorInverse = TransformColorInverse;
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@ -66,16 +66,27 @@ static WEBP_INLINE void UpdateHisto(int histo_argb[4][256], uint32_t argb) {
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//------------------------------------------------------------------------------
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// Spatial transform functions.
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static WEBP_INLINE uint32_t Predict(VP8LPredictorFunc pred_func,
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int x, int y,
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const uint32_t* current_row,
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const uint32_t* upper_row) {
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static WEBP_INLINE void PredictBatch(int mode, int x_start, int y,
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int num_pixels, const uint32_t* current,
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const uint32_t* upper, uint32_t* out) {
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if (x_start == 0) {
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if (y == 0) {
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// ARGB_BLACK.
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VP8LPredictorsSub[0](current, NULL, 1, out);
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} else {
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// Top one.
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VP8LPredictorsSub[2](current, upper, 1, out);
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}
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++x_start;
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++out;
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--num_pixels;
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}
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if (y == 0) {
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return (x == 0) ? ARGB_BLACK : current_row[x - 1]; // Left.
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} else if (x == 0) {
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return upper_row[x]; // Top.
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// Left one.
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VP8LPredictorsSub[1](current + x_start, NULL, num_pixels, out);
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} else {
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return pred_func(current_row[x - 1], upper_row + x);
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VP8LPredictorsSub[mode](current + x_start, upper + x_start, num_pixels,
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out);
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}
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}
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@ -208,42 +219,59 @@ static uint32_t NearLossless(uint32_t value, uint32_t predict,
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return ((uint32_t)a << 24) | ((uint32_t)r << 16) | ((uint32_t)g << 8) | b;
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}
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// Returns the difference between the pixel and its prediction. In case of a
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// lossy encoding, updates the source image to avoid propagating the deviation
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// further to pixels which depend on the current pixel for their predictions.
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static WEBP_INLINE uint32_t GetResidual(int width, int height,
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uint32_t* const upper_row,
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uint32_t* const current_row,
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const uint8_t* const max_diffs,
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int mode, VP8LPredictorFunc pred_func,
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int x, int y, int max_quantization,
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int exact, int used_subtract_green) {
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const uint32_t predict = Predict(pred_func, x, y, current_row, upper_row);
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uint32_t residual;
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if (max_quantization == 1 || mode == 0 || y == 0 || y == height - 1 ||
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x == 0 || x == width - 1) {
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residual = VP8LSubPixels(current_row[x], predict);
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// Stores the difference between the pixel and its prediction in "out".
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// In case of a lossy encoding, updates the source image to avoid propagating
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// the deviation further to pixels which depend on the current pixel for their
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// predictions.
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static WEBP_INLINE void GetResidual(
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int width, int height, uint32_t* const upper_row,
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uint32_t* const current_row, const uint8_t* const max_diffs, int mode,
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int x_start, int x_end, int y, int max_quantization, int exact,
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int used_subtract_green, uint32_t* const out) {
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if (exact) {
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PredictBatch(mode, x_start, y, x_end - x_start, current_row, upper_row,
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out);
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} else {
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residual = NearLossless(current_row[x], predict, max_quantization,
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max_diffs[x], used_subtract_green);
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// Update the source image.
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current_row[x] = VP8LAddPixels(predict, residual);
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// x is never 0 here so we do not need to update upper_row like below.
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const VP8LPredictorFunc pred_func = VP8LPredictors[mode];
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int x;
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for (x = x_start; x < x_end; ++x) {
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uint32_t predict;
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uint32_t residual;
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if (y == 0) {
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predict = (x == 0) ? ARGB_BLACK : current_row[x - 1]; // Left.
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} else if (x == 0) {
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predict = upper_row[x]; // Top.
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} else {
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predict = pred_func(current_row[x - 1], upper_row + x);
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}
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if (mode == 0 || y == 0 || y == height - 1 || x == 0 || x == width - 1) {
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residual = VP8LSubPixels(current_row[x], predict);
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} else {
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residual = NearLossless(current_row[x], predict, max_quantization,
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max_diffs[x], used_subtract_green);
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// Update the source image.
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||||
current_row[x] = VP8LAddPixels(predict, residual);
|
||||
// x is never 0 here so we do not need to update upper_row like below.
|
||||
}
|
||||
if ((current_row[x] & kMaskAlpha) == 0) {
|
||||
// If alpha is 0, cleanup RGB. We can choose the RGB values of the
|
||||
// residual for best compression. The prediction of alpha itself can be
|
||||
// non-zero and must be kept though. We choose RGB of the residual to be
|
||||
// 0.
|
||||
residual &= kMaskAlpha;
|
||||
// Update the source image.
|
||||
current_row[x] = predict & ~kMaskAlpha;
|
||||
// The prediction for the rightmost pixel in a row uses the leftmost
|
||||
// pixel
|
||||
// in that row as its top-right context pixel. Hence if we change the
|
||||
// leftmost pixel of current_row, the corresponding change must be
|
||||
// applied
|
||||
// to upper_row as well where top-right context is being read from.
|
||||
if (x == 0 && y != 0) upper_row[width] = current_row[0];
|
||||
}
|
||||
out[x - x_start] = residual;
|
||||
}
|
||||
}
|
||||
if (!exact && (current_row[x] & kMaskAlpha) == 0) {
|
||||
// If alpha is 0, cleanup RGB. We can choose the RGB values of the residual
|
||||
// for best compression. The prediction of alpha itself can be non-zero and
|
||||
// must be kept though. We choose RGB of the residual to be 0.
|
||||
residual &= kMaskAlpha;
|
||||
// Update the source image.
|
||||
current_row[x] = predict & ~kMaskAlpha;
|
||||
// The prediction for the rightmost pixel in a row uses the leftmost pixel
|
||||
// in that row as its top-right context pixel. Hence if we change the
|
||||
// leftmost pixel of current_row, the corresponding change must be applied
|
||||
// to upper_row as well where top-right context is being read from.
|
||||
if (x == 0 && y != 0) upper_row[width] = current_row[0];
|
||||
}
|
||||
return residual;
|
||||
}
|
||||
|
||||
// Returns best predictor and updates the accumulated histogram.
|
||||
@ -293,9 +321,11 @@ static int GetBestPredictorForTile(int width, int height,
|
||||
int (*histo_argb)[256] = histo_stack_1;
|
||||
int (*best_histo)[256] = histo_stack_2;
|
||||
int i, j;
|
||||
uint32_t residuals[1 << MAX_TRANSFORM_BITS];
|
||||
assert(bits <= MAX_TRANSFORM_BITS);
|
||||
assert(max_x <= (1 << MAX_TRANSFORM_BITS));
|
||||
|
||||
for (mode = 0; mode < kNumPredModes; ++mode) {
|
||||
const VP8LPredictorFunc pred_func = VP8LPredictors[mode];
|
||||
float cur_diff;
|
||||
int relative_y;
|
||||
memset(histo_argb, 0, sizeof(histo_stack_1));
|
||||
@ -326,12 +356,11 @@ static int GetBestPredictorForTile(int width, int height,
|
||||
max_diffs + context_start_x, used_subtract_green);
|
||||
}
|
||||
|
||||
GetResidual(width, height, upper_row, current_row, max_diffs, mode,
|
||||
start_x, start_x + max_x, y, max_quantization, exact,
|
||||
used_subtract_green, residuals);
|
||||
for (relative_x = 0; relative_x < max_x; ++relative_x) {
|
||||
const int x = start_x + relative_x;
|
||||
UpdateHisto(histo_argb,
|
||||
GetResidual(width, height, upper_row, current_row,
|
||||
max_diffs, mode, pred_func, x, y,
|
||||
max_quantization, exact, used_subtract_green));
|
||||
UpdateHisto(histo_argb, residuals[relative_x]);
|
||||
}
|
||||
}
|
||||
cur_diff = PredictionCostSpatialHistogram(
|
||||
@ -369,7 +398,6 @@ static void CopyImageWithPrediction(int width, int height,
|
||||
int low_effort, int max_quantization,
|
||||
int exact, int used_subtract_green) {
|
||||
const int tiles_per_row = VP8LSubSampleSize(width, bits);
|
||||
const int mask = (1 << bits) - 1;
|
||||
// The width of upper_row and current_row is one pixel larger than image width
|
||||
// to allow the top right pixel to point to the leftmost pixel of the next row
|
||||
// when at the right edge.
|
||||
@ -378,8 +406,6 @@ static void CopyImageWithPrediction(int width, int height,
|
||||
uint8_t* current_max_diffs = (uint8_t*)(current_row + width + 1);
|
||||
uint8_t* lower_max_diffs = current_max_diffs + width;
|
||||
int y;
|
||||
int mode = 0;
|
||||
VP8LPredictorFunc pred_func = NULL;
|
||||
|
||||
for (y = 0; y < height; ++y) {
|
||||
int x;
|
||||
@ -390,11 +416,8 @@ static void CopyImageWithPrediction(int width, int height,
|
||||
sizeof(*argb) * (width + (y + 1 < height)));
|
||||
|
||||
if (low_effort) {
|
||||
for (x = 0; x < width; ++x) {
|
||||
const uint32_t predict = Predict(VP8LPredictors[kPredLowEffort], x, y,
|
||||
current_row, upper_row);
|
||||
argb[y * width + x] = VP8LSubPixels(current_row[x], predict);
|
||||
}
|
||||
PredictBatch(kPredLowEffort, 0, y, width, current_row, upper_row,
|
||||
argb + y * width);
|
||||
} else {
|
||||
if (max_quantization > 1) {
|
||||
// Compute max_diffs for the lower row now, because that needs the
|
||||
@ -408,14 +431,15 @@ static void CopyImageWithPrediction(int width, int height,
|
||||
used_subtract_green);
|
||||
}
|
||||
}
|
||||
for (x = 0; x < width; ++x) {
|
||||
if ((x & mask) == 0) {
|
||||
mode = (modes[(y >> bits) * tiles_per_row + (x >> bits)] >> 8) & 0xff;
|
||||
pred_func = VP8LPredictors[mode];
|
||||
}
|
||||
argb[y * width + x] = GetResidual(
|
||||
width, height, upper_row, current_row, current_max_diffs, mode,
|
||||
pred_func, x, y, max_quantization, exact, used_subtract_green);
|
||||
for (x = 0; x < width;) {
|
||||
const int mode =
|
||||
(modes[(y >> bits) * tiles_per_row + (x >> bits)] >> 8) & 0xff;
|
||||
int x_end = x + (1 << bits);
|
||||
if (x_end > width) x_end = width;
|
||||
GetResidual(width, height, upper_row, current_row, current_max_diffs,
|
||||
mode, x, x_end, y, max_quantization, exact,
|
||||
used_subtract_green, argb + y * width + x);
|
||||
x = x_end;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
@ -319,7 +319,10 @@ static int GetHistoBits(int method, int use_palette, int width, int height) {
|
||||
|
||||
static int GetTransformBits(int method, int histo_bits) {
|
||||
const int max_transform_bits = (method < 4) ? 6 : (method > 4) ? 4 : 5;
|
||||
return (histo_bits > max_transform_bits) ? max_transform_bits : histo_bits;
|
||||
const int res =
|
||||
(histo_bits > max_transform_bits) ? max_transform_bits : histo_bits;
|
||||
assert(res <= MAX_TRANSFORM_BITS);
|
||||
return res;
|
||||
}
|
||||
|
||||
static int AnalyzeAndInit(VP8LEncoder* const enc) {
|
||||
|
@ -24,6 +24,9 @@
|
||||
extern "C" {
|
||||
#endif
|
||||
|
||||
// maximum value of transform_bits_ in VP8LEncoder.
|
||||
#define MAX_TRANSFORM_BITS 6
|
||||
|
||||
typedef struct {
|
||||
const WebPConfig* config_; // user configuration and parameters
|
||||
const WebPPicture* pic_; // input picture.
|
||||
@ -39,7 +42,7 @@ typedef struct {
|
||||
|
||||
// Encoding parameters derived from quality parameter.
|
||||
int histo_bits_;
|
||||
int transform_bits_;
|
||||
int transform_bits_; // <= MAX_TRANSFORM_BITS.
|
||||
int cache_bits_; // If equal to 0, don't use color cache.
|
||||
|
||||
// Encoding parameters derived from image characteristics.
|
||||
|
Loading…
Reference in New Issue
Block a user