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Merge "WebPDequantizeLevels(): use stride in CountLevels()"
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commit
6d8c07d375
@ -122,12 +122,12 @@ static int ALPHDecode(VP8Decoder* const dec, int row, int num_rows) {
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const uint8_t* VP8DecompressAlphaRows(VP8Decoder* const dec,
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const VP8Io* const io,
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int row, int num_rows) {
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const int width = dec->pic_hdr_.width_;
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const int height = dec->pic_hdr_.height_;
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const int width = io->width;
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const int height = io->crop_bottom;
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assert(dec != NULL && io != NULL);
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if (row < 0 || num_rows <= 0 || row + num_rows > height) {
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if (row < 0 || num_rows <= 0 || row + num_rows > io->height) {
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return NULL; // sanity check.
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}
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@ -136,7 +136,7 @@ const uint8_t* VP8DecompressAlphaRows(VP8Decoder* const dec,
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dec->alph_dec_ = ALPHNew();
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if (dec->alph_dec_ == NULL) return NULL;
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if (!ALPHInit(dec->alph_dec_, dec->alpha_data_, dec->alpha_data_size_,
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width, height, dec->alpha_plane_)) {
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io->width, io->height, dec->alpha_plane_)) {
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ALPHDelete(dec->alph_dec_);
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dec->alph_dec_ = NULL;
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return NULL;
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@ -149,23 +149,21 @@ const uint8_t* VP8DecompressAlphaRows(VP8Decoder* const dec,
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}
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}
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if (io->use_cropping) {
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if (row + num_rows > io->crop_bottom) {
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num_rows = io->crop_bottom - row;
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}
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if (row + num_rows > height) {
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num_rows = height - row;
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}
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if (!dec->is_alpha_decoded_) {
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int ok = ALPHDecode(dec, row, num_rows);
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assert(dec->alph_dec_ != NULL);
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if (ok && dec->alpha_dithering_ > 0) {
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ok = WebPDequantizeLevels(dec->alpha_plane_, width, height, width,
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dec->alpha_dithering_);
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}
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if (!ok || dec->is_alpha_decoded_) {
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ALPHDelete(dec->alph_dec_);
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dec->alph_dec_ = NULL;
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}
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if (ok && dec->is_alpha_decoded_ && dec->alpha_dithering_ > 0) {
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ok = WebPDequantizeLevels(dec->alpha_plane_, width, height, width,
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dec->alpha_dithering_);
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}
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if (!ok) return NULL; // Error.
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}
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// Return a pointer to the current decoded row.
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@ -179,17 +179,20 @@ static void InitCorrectionLUT(int16_t* const lut, int min_dist) {
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lut[0] = 0;
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}
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static void CountLevels(const uint8_t* const data, int size,
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SmoothParams* const p) {
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int i, last_level;
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static void CountLevels(SmoothParams* const p) {
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int i, j, last_level;
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uint8_t used_levels[256] = { 0 };
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const uint8_t* data = p->src_;
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p->min_ = 255;
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p->max_ = 0;
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for (i = 0; i < size; ++i) {
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const int v = data[i];
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if (v < p->min_) p->min_ = v;
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if (v > p->max_) p->max_ = v;
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used_levels[v] = 1;
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for (j = 0; j < p->height_; ++j) {
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for (i = 0; i < p->width_; ++i) {
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const int v = data[i];
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if (v < p->min_) p->min_ = v;
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if (v > p->max_) p->max_ = v;
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used_levels[v] = 1;
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}
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data += p->stride_;
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}
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// Compute the mininum distance between two non-zero levels.
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p->min_level_dist_ = p->max_ - p->min_;
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@ -242,7 +245,7 @@ static int InitParams(uint8_t* const data, int width, int height, int stride,
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p->row_ = -radius;
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// analyze the input distribution so we can best-fit the threshold
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CountLevels(data, width * height, p);
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CountLevels(p);
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// correction table
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p->correction_ = ((int16_t*)mem) + LUT_SIZE;
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