| // Copyright 2019 Joe Drago. All rights reserved. |
| // SPDX-License-Identifier: BSD-2-Clause |
| |
| #include "avif/internal.h" |
| |
| #include <assert.h> |
| #include <math.h> |
| #include <string.h> |
| |
| struct YUVBlock |
| { |
| float y; |
| float u; |
| float v; |
| }; |
| |
| static avifBool avifPrepareReformatState(const avifImage * image, const avifRGBImage * rgb, avifReformatState * state) |
| { |
| if ((image->depth != 8) && (image->depth != 10) && (image->depth != 12)) { |
| return AVIF_FALSE; |
| } |
| if ((rgb->depth != 8) && (rgb->depth != 10) && (rgb->depth != 12) && (rgb->depth != 16)) { |
| return AVIF_FALSE; |
| } |
| if (rgb->isFloat && rgb->depth != 16) { |
| return AVIF_FALSE; |
| } |
| if (rgb->format == AVIF_RGB_FORMAT_RGB_565 && rgb->depth != 8) { |
| return AVIF_FALSE; |
| } |
| if (image->yuvFormat <= AVIF_PIXEL_FORMAT_NONE || image->yuvFormat >= AVIF_PIXEL_FORMAT_COUNT || |
| rgb->format < AVIF_RGB_FORMAT_RGB || rgb->format >= AVIF_RGB_FORMAT_COUNT) { |
| return AVIF_FALSE; |
| } |
| if (image->yuvRange != AVIF_RANGE_LIMITED && image->yuvRange != AVIF_RANGE_FULL) { |
| return AVIF_FALSE; |
| } |
| |
| // These matrix coefficients values are currently unsupported. Revise this list as more support is added. |
| // |
| // YCgCo performs limited-full range adjustment on R,G,B but the current implementation performs range adjustment |
| // on Y,U,V. So YCgCo with limited range is unsupported. |
| if ((image->matrixCoefficients == 3 /* CICP reserved */) || |
| ((image->matrixCoefficients == AVIF_MATRIX_COEFFICIENTS_YCGCO) && (image->yuvRange == AVIF_RANGE_LIMITED)) || |
| (image->matrixCoefficients == AVIF_MATRIX_COEFFICIENTS_BT2020_CL) || |
| (image->matrixCoefficients == AVIF_MATRIX_COEFFICIENTS_SMPTE2085) || |
| (image->matrixCoefficients == AVIF_MATRIX_COEFFICIENTS_CHROMA_DERIVED_CL) || |
| (image->matrixCoefficients >= AVIF_MATRIX_COEFFICIENTS_ICTCP)) { // Note the >= catching "future" CICP values here too |
| return AVIF_FALSE; |
| } |
| |
| if ((image->matrixCoefficients == AVIF_MATRIX_COEFFICIENTS_IDENTITY) && (image->yuvFormat != AVIF_PIXEL_FORMAT_YUV444)) { |
| return AVIF_FALSE; |
| } |
| |
| avifGetPixelFormatInfo(image->yuvFormat, &state->formatInfo); |
| avifCalcYUVCoefficients(image, &state->kr, &state->kg, &state->kb); |
| state->mode = AVIF_REFORMAT_MODE_YUV_COEFFICIENTS; |
| |
| if (image->matrixCoefficients == AVIF_MATRIX_COEFFICIENTS_IDENTITY) { |
| state->mode = AVIF_REFORMAT_MODE_IDENTITY; |
| } else if (image->matrixCoefficients == AVIF_MATRIX_COEFFICIENTS_YCGCO) { |
| state->mode = AVIF_REFORMAT_MODE_YCGCO; |
| } |
| |
| if (state->mode != AVIF_REFORMAT_MODE_YUV_COEFFICIENTS) { |
| state->kr = 0.0f; |
| state->kg = 0.0f; |
| state->kb = 0.0f; |
| } |
| |
| state->yuvChannelBytes = (image->depth > 8) ? 2 : 1; |
| state->rgbChannelBytes = (rgb->depth > 8) ? 2 : 1; |
| state->rgbChannelCount = avifRGBFormatChannelCount(rgb->format); |
| state->rgbPixelBytes = avifRGBImagePixelSize(rgb); |
| |
| switch (rgb->format) { |
| case AVIF_RGB_FORMAT_RGB: |
| state->rgbOffsetBytesR = state->rgbChannelBytes * 0; |
| state->rgbOffsetBytesG = state->rgbChannelBytes * 1; |
| state->rgbOffsetBytesB = state->rgbChannelBytes * 2; |
| state->rgbOffsetBytesA = 0; |
| break; |
| case AVIF_RGB_FORMAT_RGBA: |
| state->rgbOffsetBytesR = state->rgbChannelBytes * 0; |
| state->rgbOffsetBytesG = state->rgbChannelBytes * 1; |
| state->rgbOffsetBytesB = state->rgbChannelBytes * 2; |
| state->rgbOffsetBytesA = state->rgbChannelBytes * 3; |
| break; |
| case AVIF_RGB_FORMAT_ARGB: |
| state->rgbOffsetBytesA = state->rgbChannelBytes * 0; |
| state->rgbOffsetBytesR = state->rgbChannelBytes * 1; |
| state->rgbOffsetBytesG = state->rgbChannelBytes * 2; |
| state->rgbOffsetBytesB = state->rgbChannelBytes * 3; |
| break; |
| case AVIF_RGB_FORMAT_BGR: |
| state->rgbOffsetBytesB = state->rgbChannelBytes * 0; |
| state->rgbOffsetBytesG = state->rgbChannelBytes * 1; |
| state->rgbOffsetBytesR = state->rgbChannelBytes * 2; |
| state->rgbOffsetBytesA = 0; |
| break; |
| case AVIF_RGB_FORMAT_BGRA: |
| state->rgbOffsetBytesB = state->rgbChannelBytes * 0; |
| state->rgbOffsetBytesG = state->rgbChannelBytes * 1; |
| state->rgbOffsetBytesR = state->rgbChannelBytes * 2; |
| state->rgbOffsetBytesA = state->rgbChannelBytes * 3; |
| break; |
| case AVIF_RGB_FORMAT_ABGR: |
| state->rgbOffsetBytesA = state->rgbChannelBytes * 0; |
| state->rgbOffsetBytesB = state->rgbChannelBytes * 1; |
| state->rgbOffsetBytesG = state->rgbChannelBytes * 2; |
| state->rgbOffsetBytesR = state->rgbChannelBytes * 3; |
| break; |
| case AVIF_RGB_FORMAT_RGB_565: |
| // Since RGB_565 consists of two bytes per RGB pixel, we simply use |
| // the pointer to the red channel to populate the entire pixel value |
| // as a uint16_t. As a result only rgbOffsetBytesR is used and the |
| // other offsets are unused. |
| state->rgbOffsetBytesR = 0; |
| state->rgbOffsetBytesG = 0; |
| state->rgbOffsetBytesB = 0; |
| state->rgbOffsetBytesA = 0; |
| break; |
| |
| case AVIF_RGB_FORMAT_COUNT: |
| return AVIF_FALSE; |
| } |
| |
| state->yuvDepth = image->depth; |
| state->yuvRange = image->yuvRange; |
| state->yuvMaxChannel = (1 << image->depth) - 1; |
| state->rgbMaxChannel = (1 << rgb->depth) - 1; |
| state->rgbMaxChannelF = (float)state->rgbMaxChannel; |
| state->biasY = (state->yuvRange == AVIF_RANGE_LIMITED) ? (float)(16 << (state->yuvDepth - 8)) : 0.0f; |
| state->biasUV = (float)(1 << (state->yuvDepth - 1)); |
| state->rangeY = (float)((state->yuvRange == AVIF_RANGE_LIMITED) ? (219 << (state->yuvDepth - 8)) : state->yuvMaxChannel); |
| state->rangeUV = (float)((state->yuvRange == AVIF_RANGE_LIMITED) ? (224 << (state->yuvDepth - 8)) : state->yuvMaxChannel); |
| |
| uint32_t cpCount = 1 << image->depth; |
| if (state->mode == AVIF_REFORMAT_MODE_IDENTITY) { |
| for (uint32_t cp = 0; cp < cpCount; ++cp) { |
| state->unormFloatTableY[cp] = ((float)cp - state->biasY) / state->rangeY; |
| state->unormFloatTableUV[cp] = ((float)cp - state->biasY) / state->rangeY; |
| } |
| } else { |
| for (uint32_t cp = 0; cp < cpCount; ++cp) { |
| // Review this when implementing YCgCo limited range support. |
| state->unormFloatTableY[cp] = ((float)cp - state->biasY) / state->rangeY; |
| state->unormFloatTableUV[cp] = ((float)cp - state->biasUV) / state->rangeUV; |
| } |
| } |
| |
| state->toRGBAlphaMode = AVIF_ALPHA_MULTIPLY_MODE_NO_OP; |
| if (image->alphaPlane) { |
| if (!avifRGBFormatHasAlpha(rgb->format) || rgb->ignoreAlpha) { |
| // if we are converting some image with alpha into a format without alpha, we should do 'premultiply alpha' before |
| // discarding alpha plane. This has the same effect of rendering this image on a black background, which makes sense. |
| if (!image->alphaPremultiplied) { |
| state->toRGBAlphaMode = AVIF_ALPHA_MULTIPLY_MODE_MULTIPLY; |
| } |
| } else { |
| if (!image->alphaPremultiplied && rgb->alphaPremultiplied) { |
| state->toRGBAlphaMode = AVIF_ALPHA_MULTIPLY_MODE_MULTIPLY; |
| } else if (image->alphaPremultiplied && !rgb->alphaPremultiplied) { |
| state->toRGBAlphaMode = AVIF_ALPHA_MULTIPLY_MODE_UNMULTIPLY; |
| } |
| } |
| } |
| |
| return AVIF_TRUE; |
| } |
| |
| // Formulas 20-31 from https://www.itu.int/rec/T-REC-H.273-201612-I/en |
| static int avifReformatStateYToUNorm(avifReformatState * state, float v) |
| { |
| int unorm = (int)avifRoundf(v * state->rangeY + state->biasY); |
| return AVIF_CLAMP(unorm, 0, state->yuvMaxChannel); |
| } |
| |
| static int avifReformatStateUVToUNorm(avifReformatState * state, float v) |
| { |
| int unorm; |
| |
| // YCgCo performs limited-full range adjustment on R,G,B but the current implementation performs range adjustment |
| // on Y,U,V. So YCgCo with limited range is unsupported. |
| assert((state->mode != AVIF_REFORMAT_MODE_YCGCO) || (state->yuvRange == AVIF_RANGE_FULL)); |
| |
| if (state->mode == AVIF_REFORMAT_MODE_IDENTITY) { |
| unorm = (int)avifRoundf(v * state->rangeY + state->biasY); |
| } else { |
| unorm = (int)avifRoundf(v * state->rangeUV + state->biasUV); |
| } |
| |
| return AVIF_CLAMP(unorm, 0, state->yuvMaxChannel); |
| } |
| |
| avifResult avifImageRGBToYUV(avifImage * image, const avifRGBImage * rgb, avifRGBToYUVFlags flags) |
| { |
| if (!rgb->pixels || rgb->format == AVIF_RGB_FORMAT_RGB_565) { |
| return AVIF_RESULT_REFORMAT_FAILED; |
| } |
| |
| avifReformatState state; |
| if (!avifPrepareReformatState(image, rgb, &state)) { |
| return AVIF_RESULT_REFORMAT_FAILED; |
| } |
| |
| if (rgb->isFloat) { |
| return AVIF_RESULT_NOT_IMPLEMENTED; |
| } |
| |
| const avifBool hasAlpha = avifRGBFormatHasAlpha(rgb->format) && !rgb->ignoreAlpha; |
| avifResult allocationResult = avifImageAllocatePlanes(image, hasAlpha ? AVIF_PLANES_ALL : AVIF_PLANES_YUV); |
| if (allocationResult != AVIF_RESULT_OK) { |
| return allocationResult; |
| } |
| |
| avifAlphaMultiplyMode alphaMode = AVIF_ALPHA_MULTIPLY_MODE_NO_OP; |
| if (hasAlpha) { |
| if (!rgb->alphaPremultiplied && image->alphaPremultiplied) { |
| alphaMode = AVIF_ALPHA_MULTIPLY_MODE_MULTIPLY; |
| } else if (rgb->alphaPremultiplied && !image->alphaPremultiplied) { |
| alphaMode = AVIF_ALPHA_MULTIPLY_MODE_UNMULTIPLY; |
| } |
| } |
| |
| avifBool converted = AVIF_FALSE; |
| |
| // Try converting with libsharpyuv. |
| if ((flags & AVIF_CHROMA_DOWNSAMPLING_SHARP_YUV) && image->yuvFormat == AVIF_PIXEL_FORMAT_YUV420) { |
| const avifResult libSharpYUVResult = avifImageRGBToYUVLibSharpYUV(image, rgb, &state); |
| if (libSharpYUVResult != AVIF_RESULT_OK) { |
| // Return the error if sharpyuv was requested but failed for any reason, including libsharpyuv not being available. |
| return libSharpYUVResult; |
| } |
| converted = AVIF_TRUE; |
| } |
| |
| if (!converted && !(flags & AVIF_RGB_TO_YUV_AVOID_LIBYUV) && (alphaMode == AVIF_ALPHA_MULTIPLY_MODE_NO_OP)) { |
| avifResult libyuvResult = avifImageRGBToYUVLibYUV(image, rgb); |
| if (libyuvResult == AVIF_RESULT_OK) { |
| converted = AVIF_TRUE; |
| } else if (libyuvResult != AVIF_RESULT_NOT_IMPLEMENTED) { |
| return libyuvResult; |
| } |
| } |
| |
| if (!converted) { |
| const float kr = state.kr; |
| const float kg = state.kg; |
| const float kb = state.kb; |
| |
| struct YUVBlock yuvBlock[2][2]; |
| float rgbPixel[3]; |
| const float rgbMaxChannelF = state.rgbMaxChannelF; |
| uint8_t ** yuvPlanes = image->yuvPlanes; |
| uint32_t * yuvRowBytes = image->yuvRowBytes; |
| for (uint32_t outerJ = 0; outerJ < image->height; outerJ += 2) { |
| for (uint32_t outerI = 0; outerI < image->width; outerI += 2) { |
| int blockW = 2, blockH = 2; |
| if ((outerI + 1) >= image->width) { |
| blockW = 1; |
| } |
| if ((outerJ + 1) >= image->height) { |
| blockH = 1; |
| } |
| |
| // Convert an entire 2x2 block to YUV, and populate any fully sampled channels as we go |
| for (int bJ = 0; bJ < blockH; ++bJ) { |
| for (int bI = 0; bI < blockW; ++bI) { |
| int i = outerI + bI; |
| int j = outerJ + bJ; |
| |
| // Unpack RGB into normalized float |
| if (state.rgbChannelBytes > 1) { |
| rgbPixel[0] = |
| *((uint16_t *)(&rgb->pixels[state.rgbOffsetBytesR + (i * state.rgbPixelBytes) + (j * rgb->rowBytes)])) / |
| rgbMaxChannelF; |
| rgbPixel[1] = |
| *((uint16_t *)(&rgb->pixels[state.rgbOffsetBytesG + (i * state.rgbPixelBytes) + (j * rgb->rowBytes)])) / |
| rgbMaxChannelF; |
| rgbPixel[2] = |
| *((uint16_t *)(&rgb->pixels[state.rgbOffsetBytesB + (i * state.rgbPixelBytes) + (j * rgb->rowBytes)])) / |
| rgbMaxChannelF; |
| } else { |
| rgbPixel[0] = rgb->pixels[state.rgbOffsetBytesR + (i * state.rgbPixelBytes) + (j * rgb->rowBytes)] / |
| rgbMaxChannelF; |
| rgbPixel[1] = rgb->pixels[state.rgbOffsetBytesG + (i * state.rgbPixelBytes) + (j * rgb->rowBytes)] / |
| rgbMaxChannelF; |
| rgbPixel[2] = rgb->pixels[state.rgbOffsetBytesB + (i * state.rgbPixelBytes) + (j * rgb->rowBytes)] / |
| rgbMaxChannelF; |
| } |
| |
| if (alphaMode != AVIF_ALPHA_MULTIPLY_MODE_NO_OP) { |
| float a; |
| if (state.rgbChannelBytes > 1) { |
| a = *((uint16_t *)(&rgb->pixels[state.rgbOffsetBytesA + (i * state.rgbPixelBytes) + (j * rgb->rowBytes)])) / |
| rgbMaxChannelF; |
| } else { |
| a = rgb->pixels[state.rgbOffsetBytesA + (i * state.rgbPixelBytes) + (j * rgb->rowBytes)] / rgbMaxChannelF; |
| } |
| |
| if (alphaMode == AVIF_ALPHA_MULTIPLY_MODE_MULTIPLY) { |
| if (a == 0) { |
| rgbPixel[0] = 0; |
| rgbPixel[1] = 0; |
| rgbPixel[2] = 0; |
| } else if (a < 1.0f) { |
| rgbPixel[0] *= a; |
| rgbPixel[1] *= a; |
| rgbPixel[2] *= a; |
| } |
| } else { |
| // alphaMode == AVIF_ALPHA_MULTIPLY_MODE_UNMULTIPLY |
| if (a == 0) { |
| rgbPixel[0] = 0; |
| rgbPixel[1] = 0; |
| rgbPixel[2] = 0; |
| } else if (a < 1.0f) { |
| rgbPixel[0] /= a; |
| rgbPixel[1] /= a; |
| rgbPixel[2] /= a; |
| rgbPixel[0] = AVIF_MIN(rgbPixel[0], 1.0f); |
| rgbPixel[1] = AVIF_MIN(rgbPixel[1], 1.0f); |
| rgbPixel[2] = AVIF_MIN(rgbPixel[2], 1.0f); |
| } |
| } |
| } |
| |
| // RGB -> YUV conversion |
| if (state.mode == AVIF_REFORMAT_MODE_IDENTITY) { |
| // Formulas 41,42,43 from https://www.itu.int/rec/T-REC-H.273-201612-I/en |
| yuvBlock[bI][bJ].y = rgbPixel[1]; // G |
| yuvBlock[bI][bJ].u = rgbPixel[2]; // B |
| yuvBlock[bI][bJ].v = rgbPixel[0]; // R |
| } else if (state.mode == AVIF_REFORMAT_MODE_YCGCO) { |
| // Formulas 44,45,46 from https://www.itu.int/rec/T-REC-H.273-201612-I/en |
| yuvBlock[bI][bJ].y = 0.5f * rgbPixel[1] + 0.25f * (rgbPixel[0] + rgbPixel[2]); |
| yuvBlock[bI][bJ].u = 0.5f * rgbPixel[1] - 0.25f * (rgbPixel[0] + rgbPixel[2]); |
| yuvBlock[bI][bJ].v = 0.5f * (rgbPixel[0] - rgbPixel[2]); |
| } else { |
| float Y = (kr * rgbPixel[0]) + (kg * rgbPixel[1]) + (kb * rgbPixel[2]); |
| yuvBlock[bI][bJ].y = Y; |
| yuvBlock[bI][bJ].u = (rgbPixel[2] - Y) / (2 * (1 - kb)); |
| yuvBlock[bI][bJ].v = (rgbPixel[0] - Y) / (2 * (1 - kr)); |
| } |
| |
| if (state.yuvChannelBytes > 1) { |
| uint16_t * pY = (uint16_t *)&yuvPlanes[AVIF_CHAN_Y][(i * 2) + (j * yuvRowBytes[AVIF_CHAN_Y])]; |
| *pY = (uint16_t)avifReformatStateYToUNorm(&state, yuvBlock[bI][bJ].y); |
| if (image->yuvFormat == AVIF_PIXEL_FORMAT_YUV444) { |
| // YUV444, full chroma |
| uint16_t * pU = (uint16_t *)&yuvPlanes[AVIF_CHAN_U][(i * 2) + (j * yuvRowBytes[AVIF_CHAN_U])]; |
| *pU = (uint16_t)avifReformatStateUVToUNorm(&state, yuvBlock[bI][bJ].u); |
| uint16_t * pV = (uint16_t *)&yuvPlanes[AVIF_CHAN_V][(i * 2) + (j * yuvRowBytes[AVIF_CHAN_V])]; |
| *pV = (uint16_t)avifReformatStateUVToUNorm(&state, yuvBlock[bI][bJ].v); |
| } |
| } else { |
| yuvPlanes[AVIF_CHAN_Y][i + (j * yuvRowBytes[AVIF_CHAN_Y])] = |
| (uint8_t)avifReformatStateYToUNorm(&state, yuvBlock[bI][bJ].y); |
| if (image->yuvFormat == AVIF_PIXEL_FORMAT_YUV444) { |
| // YUV444, full chroma |
| yuvPlanes[AVIF_CHAN_U][i + (j * yuvRowBytes[AVIF_CHAN_U])] = |
| (uint8_t)avifReformatStateUVToUNorm(&state, yuvBlock[bI][bJ].u); |
| yuvPlanes[AVIF_CHAN_V][i + (j * yuvRowBytes[AVIF_CHAN_V])] = |
| (uint8_t)avifReformatStateUVToUNorm(&state, yuvBlock[bI][bJ].v); |
| } |
| } |
| } |
| } |
| |
| // Populate any subsampled channels with averages from the 2x2 block |
| if (image->yuvFormat == AVIF_PIXEL_FORMAT_YUV420) { |
| // YUV420, average 4 samples (2x2) |
| |
| float sumU = 0.0f; |
| float sumV = 0.0f; |
| for (int bJ = 0; bJ < blockH; ++bJ) { |
| for (int bI = 0; bI < blockW; ++bI) { |
| sumU += yuvBlock[bI][bJ].u; |
| sumV += yuvBlock[bI][bJ].v; |
| } |
| } |
| float totalSamples = (float)(blockW * blockH); |
| float avgU = sumU / totalSamples; |
| float avgV = sumV / totalSamples; |
| |
| const int chromaShiftX = 1; |
| const int chromaShiftY = 1; |
| int uvI = outerI >> chromaShiftX; |
| int uvJ = outerJ >> chromaShiftY; |
| if (state.yuvChannelBytes > 1) { |
| uint16_t * pU = (uint16_t *)&yuvPlanes[AVIF_CHAN_U][(uvI * 2) + (uvJ * yuvRowBytes[AVIF_CHAN_U])]; |
| *pU = (uint16_t)avifReformatStateUVToUNorm(&state, avgU); |
| uint16_t * pV = (uint16_t *)&yuvPlanes[AVIF_CHAN_V][(uvI * 2) + (uvJ * yuvRowBytes[AVIF_CHAN_V])]; |
| *pV = (uint16_t)avifReformatStateUVToUNorm(&state, avgV); |
| } else { |
| yuvPlanes[AVIF_CHAN_U][uvI + (uvJ * yuvRowBytes[AVIF_CHAN_U])] = |
| (uint8_t)avifReformatStateUVToUNorm(&state, avgU); |
| yuvPlanes[AVIF_CHAN_V][uvI + (uvJ * yuvRowBytes[AVIF_CHAN_V])] = |
| (uint8_t)avifReformatStateUVToUNorm(&state, avgV); |
| } |
| } else if (image->yuvFormat == AVIF_PIXEL_FORMAT_YUV422) { |
| // YUV422, average 2 samples (1x2), twice |
| |
| for (int bJ = 0; bJ < blockH; ++bJ) { |
| float sumU = 0.0f; |
| float sumV = 0.0f; |
| for (int bI = 0; bI < blockW; ++bI) { |
| sumU += yuvBlock[bI][bJ].u; |
| sumV += yuvBlock[bI][bJ].v; |
| } |
| float totalSamples = (float)blockW; |
| float avgU = sumU / totalSamples; |
| float avgV = sumV / totalSamples; |
| |
| const int chromaShiftX = 1; |
| int uvI = outerI >> chromaShiftX; |
| int uvJ = outerJ + bJ; |
| if (state.yuvChannelBytes > 1) { |
| uint16_t * pU = (uint16_t *)&yuvPlanes[AVIF_CHAN_U][(uvI * 2) + (uvJ * yuvRowBytes[AVIF_CHAN_U])]; |
| *pU = (uint16_t)avifReformatStateUVToUNorm(&state, avgU); |
| uint16_t * pV = (uint16_t *)&yuvPlanes[AVIF_CHAN_V][(uvI * 2) + (uvJ * yuvRowBytes[AVIF_CHAN_V])]; |
| *pV = (uint16_t)avifReformatStateUVToUNorm(&state, avgV); |
| } else { |
| yuvPlanes[AVIF_CHAN_U][uvI + (uvJ * yuvRowBytes[AVIF_CHAN_U])] = |
| (uint8_t)avifReformatStateUVToUNorm(&state, avgU); |
| yuvPlanes[AVIF_CHAN_V][uvI + (uvJ * yuvRowBytes[AVIF_CHAN_V])] = |
| (uint8_t)avifReformatStateUVToUNorm(&state, avgV); |
| } |
| } |
| } |
| } |
| } |
| } |
| |
| if (image->alphaPlane && image->alphaRowBytes) { |
| avifAlphaParams params; |
| |
| params.width = image->width; |
| params.height = image->height; |
| params.dstDepth = image->depth; |
| params.dstPlane = image->alphaPlane; |
| params.dstRowBytes = image->alphaRowBytes; |
| params.dstOffsetBytes = 0; |
| params.dstPixelBytes = state.yuvChannelBytes; |
| |
| if (avifRGBFormatHasAlpha(rgb->format) && !rgb->ignoreAlpha) { |
| params.srcDepth = rgb->depth; |
| params.srcPlane = rgb->pixels; |
| params.srcRowBytes = rgb->rowBytes; |
| params.srcOffsetBytes = state.rgbOffsetBytesA; |
| params.srcPixelBytes = state.rgbPixelBytes; |
| |
| avifReformatAlpha(¶ms); |
| } else { |
| // libyuv does not fill alpha when converting from RGB to YUV so |
| // fill it regardless of the value of convertedWithLibYUV. |
| avifFillAlpha(¶ms); |
| } |
| } |
| return AVIF_RESULT_OK; |
| } |
| |
| #define RGB565(R, G, B) ((uint16_t)(((B) >> 3) | (((G) >> 2) << 5) | (((R) >> 3) << 11))) |
| |
| static void avifStoreRGB8Pixel(avifRGBFormat format, uint8_t R, uint8_t G, uint8_t B, uint8_t * ptrR, uint8_t * ptrG, uint8_t * ptrB) |
| { |
| if (format == AVIF_RGB_FORMAT_RGB_565) { |
| // References for RGB565 color conversion: |
| // * https://docs.microsoft.com/en-us/windows/win32/directshow/working-with-16-bit-rgb |
| // * https://chromium.googlesource.com/libyuv/libyuv/+/9892d70c965678381d2a70a1c9002d1cf136ee78/source/row_common.cc#2362 |
| *(uint16_t *)ptrR = RGB565(R, G, B); |
| return; |
| } |
| *ptrR = R; |
| *ptrG = G; |
| *ptrB = B; |
| } |
| |
| // Note: This function handles alpha (un)multiply. |
| static avifResult avifImageYUVAnyToRGBAnySlow(const avifImage * image, avifRGBImage * rgb, avifReformatState * state, avifYUVToRGBFlags flags) |
| { |
| // Aliases for some state |
| const float kr = state->kr; |
| const float kg = state->kg; |
| const float kb = state->kb; |
| const float * const unormFloatTableY = state->unormFloatTableY; |
| const float * const unormFloatTableUV = state->unormFloatTableUV; |
| const uint32_t yuvChannelBytes = state->yuvChannelBytes; |
| const uint32_t rgbPixelBytes = state->rgbPixelBytes; |
| |
| // Aliases for plane data |
| const uint8_t * yPlane = image->yuvPlanes[AVIF_CHAN_Y]; |
| const uint8_t * uPlane = image->yuvPlanes[AVIF_CHAN_U]; |
| const uint8_t * vPlane = image->yuvPlanes[AVIF_CHAN_V]; |
| const uint8_t * aPlane = image->alphaPlane; |
| const uint32_t yRowBytes = image->yuvRowBytes[AVIF_CHAN_Y]; |
| const uint32_t uRowBytes = image->yuvRowBytes[AVIF_CHAN_U]; |
| const uint32_t vRowBytes = image->yuvRowBytes[AVIF_CHAN_V]; |
| const uint32_t aRowBytes = image->alphaRowBytes; |
| |
| // Various observations and limits |
| const avifBool hasColor = (uPlane && vPlane && (image->yuvFormat != AVIF_PIXEL_FORMAT_YUV400)); |
| const uint16_t yuvMaxChannel = (uint16_t)state->yuvMaxChannel; |
| const float rgbMaxChannelF = state->rgbMaxChannelF; |
| |
| // If toRGBAlphaMode is active (not no-op), assert that the alpha plane is present. The end of |
| // the avifPrepareReformatState() function should ensure this, but this assert makes it clear |
| // to clang's analyzer. |
| assert((state->toRGBAlphaMode == AVIF_ALPHA_MULTIPLY_MODE_NO_OP) || aPlane); |
| |
| for (uint32_t j = 0; j < image->height; ++j) { |
| const uint32_t uvJ = j >> state->formatInfo.chromaShiftY; |
| const uint8_t * ptrY8 = &yPlane[j * yRowBytes]; |
| const uint8_t * ptrU8 = uPlane ? &uPlane[(uvJ * uRowBytes)] : NULL; |
| const uint8_t * ptrV8 = vPlane ? &vPlane[(uvJ * vRowBytes)] : NULL; |
| const uint8_t * ptrA8 = aPlane ? &aPlane[j * aRowBytes] : NULL; |
| const uint16_t * ptrY16 = (const uint16_t *)ptrY8; |
| const uint16_t * ptrU16 = (const uint16_t *)ptrU8; |
| const uint16_t * ptrV16 = (const uint16_t *)ptrV8; |
| const uint16_t * ptrA16 = (const uint16_t *)ptrA8; |
| |
| uint8_t * ptrR = &rgb->pixels[state->rgbOffsetBytesR + (j * rgb->rowBytes)]; |
| uint8_t * ptrG = &rgb->pixels[state->rgbOffsetBytesG + (j * rgb->rowBytes)]; |
| uint8_t * ptrB = &rgb->pixels[state->rgbOffsetBytesB + (j * rgb->rowBytes)]; |
| |
| for (uint32_t i = 0; i < image->width; ++i) { |
| uint32_t uvI = i >> state->formatInfo.chromaShiftX; |
| float Y, Cb = 0.5f, Cr = 0.5f; |
| |
| // Calculate Y |
| uint16_t unormY; |
| if (image->depth == 8) { |
| unormY = ptrY8[i]; |
| } else { |
| // clamp incoming data to protect against bad LUT lookups |
| unormY = AVIF_MIN(ptrY16[i], yuvMaxChannel); |
| } |
| Y = unormFloatTableY[unormY]; |
| |
| // Calculate Cb and Cr |
| if (hasColor) { |
| if (image->yuvFormat == AVIF_PIXEL_FORMAT_YUV444) { |
| uint16_t unormU, unormV; |
| |
| if (image->depth == 8) { |
| unormU = ptrU8[uvI]; |
| unormV = ptrV8[uvI]; |
| } else { |
| // clamp incoming data to protect against bad LUT lookups |
| unormU = AVIF_MIN(ptrU16[uvI], yuvMaxChannel); |
| unormV = AVIF_MIN(ptrV16[uvI], yuvMaxChannel); |
| } |
| |
| Cb = unormFloatTableUV[unormU]; |
| Cr = unormFloatTableUV[unormV]; |
| } else { |
| // Upsample to 444: |
| // |
| // * * * * |
| // A B |
| // * 1 2 * |
| // |
| // * 3 4 * |
| // C D |
| // * * * * |
| // |
| // When converting from YUV420 to RGB, for any given "high-resolution" RGB |
| // coordinate (1,2,3,4,*), there are up to four "low-resolution" UV samples |
| // (A,B,C,D) that are "nearest" to the pixel. For RGB pixel #1, A is the closest |
| // UV sample, B and C are "adjacent" to it on the same row and column, and D is |
| // the diagonal. For RGB pixel 3, C is the closest UV sample, A and D are |
| // adjacent, and B is the diagonal. Sometimes the adjacent pixel on the same row |
| // is to the left or right, and sometimes the adjacent pixel on the same column |
| // is up or down. For any edge or corner, there might only be only one or two |
| // samples nearby, so they'll be duplicated. |
| // |
| // The following code attempts to find all four nearest UV samples and put them |
| // in the following unormU and unormV grid as follows: |
| // |
| // unorm[0][0] = closest ( weights: bilinear: 9/16, nearest: 1 ) |
| // unorm[1][0] = adjacent col ( weights: bilinear: 3/16, nearest: 0 ) |
| // unorm[0][1] = adjacent row ( weights: bilinear: 3/16, nearest: 0 ) |
| // unorm[1][1] = diagonal ( weights: bilinear: 1/16, nearest: 0 ) |
| // |
| // It then weights them according to the requested upsampling set in avifRGBImage. |
| |
| uint16_t unormU[2][2], unormV[2][2]; |
| |
| // How many bytes to add to a uint8_t pointer index to get to the adjacent (lesser) sample in a given direction |
| int uAdjCol, vAdjCol, uAdjRow, vAdjRow; |
| if ((i == 0) || ((i == (image->width - 1)) && ((i % 2) != 0))) { |
| uAdjCol = 0; |
| vAdjCol = 0; |
| } else { |
| if ((i % 2) != 0) { |
| uAdjCol = yuvChannelBytes; |
| vAdjCol = yuvChannelBytes; |
| } else { |
| uAdjCol = -1 * yuvChannelBytes; |
| vAdjCol = -1 * yuvChannelBytes; |
| } |
| } |
| |
| // For YUV422, uvJ will always be a fresh value (always corresponds to j), so |
| // we'll simply duplicate the sample as if we were on the top or bottom row and |
| // it'll behave as plain old linear (1D) upsampling, which is all we want. |
| if ((j == 0) || ((j == (image->height - 1)) && ((j % 2) != 0)) || (image->yuvFormat == AVIF_PIXEL_FORMAT_YUV422)) { |
| uAdjRow = 0; |
| vAdjRow = 0; |
| } else { |
| if ((j % 2) != 0) { |
| uAdjRow = (int)uRowBytes; |
| vAdjRow = (int)vRowBytes; |
| } else { |
| uAdjRow = -1 * (int)uRowBytes; |
| vAdjRow = -1 * (int)vRowBytes; |
| } |
| } |
| |
| if (image->depth == 8) { |
| unormU[0][0] = uPlane[(uvJ * uRowBytes) + (uvI * yuvChannelBytes)]; |
| unormV[0][0] = vPlane[(uvJ * vRowBytes) + (uvI * yuvChannelBytes)]; |
| unormU[1][0] = uPlane[(uvJ * uRowBytes) + (uvI * yuvChannelBytes) + uAdjCol]; |
| unormV[1][0] = vPlane[(uvJ * vRowBytes) + (uvI * yuvChannelBytes) + vAdjCol]; |
| unormU[0][1] = uPlane[(uvJ * uRowBytes) + (uvI * yuvChannelBytes) + uAdjRow]; |
| unormV[0][1] = vPlane[(uvJ * vRowBytes) + (uvI * yuvChannelBytes) + vAdjRow]; |
| unormU[1][1] = uPlane[(uvJ * uRowBytes) + (uvI * yuvChannelBytes) + uAdjCol + uAdjRow]; |
| unormV[1][1] = vPlane[(uvJ * vRowBytes) + (uvI * yuvChannelBytes) + vAdjCol + vAdjRow]; |
| } else { |
| unormU[0][0] = *((const uint16_t *)&uPlane[(uvJ * uRowBytes) + (uvI * yuvChannelBytes)]); |
| unormV[0][0] = *((const uint16_t *)&vPlane[(uvJ * vRowBytes) + (uvI * yuvChannelBytes)]); |
| unormU[1][0] = *((const uint16_t *)&uPlane[(uvJ * uRowBytes) + (uvI * yuvChannelBytes) + uAdjCol]); |
| unormV[1][0] = *((const uint16_t *)&vPlane[(uvJ * vRowBytes) + (uvI * yuvChannelBytes) + vAdjCol]); |
| unormU[0][1] = *((const uint16_t *)&uPlane[(uvJ * uRowBytes) + (uvI * yuvChannelBytes) + uAdjRow]); |
| unormV[0][1] = *((const uint16_t *)&vPlane[(uvJ * vRowBytes) + (uvI * yuvChannelBytes) + vAdjRow]); |
| unormU[1][1] = *((const uint16_t *)&uPlane[(uvJ * uRowBytes) + (uvI * yuvChannelBytes) + uAdjCol + uAdjRow]); |
| unormV[1][1] = *((const uint16_t *)&vPlane[(uvJ * vRowBytes) + (uvI * yuvChannelBytes) + vAdjCol + vAdjRow]); |
| |
| // clamp incoming data to protect against bad LUT lookups |
| for (int bJ = 0; bJ < 2; ++bJ) { |
| for (int bI = 0; bI < 2; ++bI) { |
| unormU[bI][bJ] = AVIF_MIN(unormU[bI][bJ], yuvMaxChannel); |
| unormV[bI][bJ] = AVIF_MIN(unormV[bI][bJ], yuvMaxChannel); |
| } |
| } |
| } |
| |
| if (flags & AVIF_CHROMA_UPSAMPLING_NEAREST) { |
| // Nearest neighbor; ignore all UVs but the closest one |
| Cb = unormFloatTableUV[unormU[0][0]]; |
| Cr = unormFloatTableUV[unormV[0][0]]; |
| } else { |
| // Bilinear filtering with weights |
| Cb = (unormFloatTableUV[unormU[0][0]] * (9.0f / 16.0f)) + (unormFloatTableUV[unormU[1][0]] * (3.0f / 16.0f)) + |
| (unormFloatTableUV[unormU[0][1]] * (3.0f / 16.0f)) + (unormFloatTableUV[unormU[1][1]] * (1.0f / 16.0f)); |
| Cr = (unormFloatTableUV[unormV[0][0]] * (9.0f / 16.0f)) + (unormFloatTableUV[unormV[1][0]] * (3.0f / 16.0f)) + |
| (unormFloatTableUV[unormV[0][1]] * (3.0f / 16.0f)) + (unormFloatTableUV[unormV[1][1]] * (1.0f / 16.0f)); |
| } |
| } |
| } |
| |
| float R, G, B; |
| if (hasColor) { |
| if (state->mode == AVIF_REFORMAT_MODE_IDENTITY) { |
| // Identity (GBR): Formulas 41,42,43 from https://www.itu.int/rec/T-REC-H.273-201612-I/en |
| G = Y; |
| B = Cb; |
| R = Cr; |
| } else if (state->mode == AVIF_REFORMAT_MODE_YCGCO) { |
| // YCgCo: Formulas 47,48,49,50 from https://www.itu.int/rec/T-REC-H.273-201612-I/en |
| const float t = Y - Cb; |
| G = Y + Cb; |
| B = t - Cr; |
| R = t + Cr; |
| } else { |
| // Normal YUV |
| R = Y + (2 * (1 - kr)) * Cr; |
| B = Y + (2 * (1 - kb)) * Cb; |
| G = Y - ((2 * ((kr * (1 - kr) * Cr) + (kb * (1 - kb) * Cb))) / kg); |
| } |
| } else { |
| // Monochrome: just populate all channels with luma (identity mode is irrelevant) |
| R = Y; |
| G = Y; |
| B = Y; |
| } |
| |
| float Rc = AVIF_CLAMP(R, 0.0f, 1.0f); |
| float Gc = AVIF_CLAMP(G, 0.0f, 1.0f); |
| float Bc = AVIF_CLAMP(B, 0.0f, 1.0f); |
| |
| if (state->toRGBAlphaMode != AVIF_ALPHA_MULTIPLY_MODE_NO_OP) { |
| // Calculate A |
| uint16_t unormA; |
| if (image->depth == 8) { |
| unormA = ptrA8[i]; |
| } else { |
| unormA = AVIF_MIN(ptrA16[i], yuvMaxChannel); |
| } |
| const float A = unormA / ((float)state->yuvMaxChannel); |
| const float Ac = AVIF_CLAMP(A, 0.0f, 1.0f); |
| |
| if (state->toRGBAlphaMode == AVIF_ALPHA_MULTIPLY_MODE_MULTIPLY) { |
| if (Ac == 0.0f) { |
| Rc = 0.0f; |
| Gc = 0.0f; |
| Bc = 0.0f; |
| } else if (Ac < 1.0f) { |
| Rc *= Ac; |
| Gc *= Ac; |
| Bc *= Ac; |
| } |
| } else { |
| // state->toRGBAlphaMode == AVIF_ALPHA_MULTIPLY_MODE_UNMULTIPLY |
| if (Ac == 0.0f) { |
| Rc = 0.0f; |
| Gc = 0.0f; |
| Bc = 0.0f; |
| } else if (Ac < 1.0f) { |
| Rc /= Ac; |
| Gc /= Ac; |
| Bc /= Ac; |
| Rc = AVIF_MIN(Rc, 1.0f); |
| Gc = AVIF_MIN(Gc, 1.0f); |
| Bc = AVIF_MIN(Bc, 1.0f); |
| } |
| } |
| } |
| |
| if (rgb->depth == 8) { |
| avifStoreRGB8Pixel(rgb->format, |
| (uint8_t)(0.5f + (Rc * rgbMaxChannelF)), |
| (uint8_t)(0.5f + (Gc * rgbMaxChannelF)), |
| (uint8_t)(0.5f + (Bc * rgbMaxChannelF)), |
| ptrR, |
| ptrG, |
| ptrB); |
| } else { |
| *((uint16_t *)ptrR) = (uint16_t)(0.5f + (Rc * rgbMaxChannelF)); |
| *((uint16_t *)ptrG) = (uint16_t)(0.5f + (Gc * rgbMaxChannelF)); |
| *((uint16_t *)ptrB) = (uint16_t)(0.5f + (Bc * rgbMaxChannelF)); |
| } |
| ptrR += rgbPixelBytes; |
| ptrG += rgbPixelBytes; |
| ptrB += rgbPixelBytes; |
| } |
| } |
| return AVIF_RESULT_OK; |
| } |
| |
| static avifResult avifImageYUV16ToRGB16Color(const avifImage * image, avifRGBImage * rgb, avifReformatState * state) |
| { |
| const float kr = state->kr; |
| const float kg = state->kg; |
| const float kb = state->kb; |
| const uint32_t rgbPixelBytes = state->rgbPixelBytes; |
| const float * const unormFloatTableY = state->unormFloatTableY; |
| const float * const unormFloatTableUV = state->unormFloatTableUV; |
| |
| const uint16_t yuvMaxChannel = (uint16_t)state->yuvMaxChannel; |
| const float rgbMaxChannelF = state->rgbMaxChannelF; |
| for (uint32_t j = 0; j < image->height; ++j) { |
| const uint32_t uvJ = j >> state->formatInfo.chromaShiftY; |
| const uint16_t * const ptrY = (uint16_t *)&image->yuvPlanes[AVIF_CHAN_Y][(j * image->yuvRowBytes[AVIF_CHAN_Y])]; |
| const uint16_t * const ptrU = (uint16_t *)&image->yuvPlanes[AVIF_CHAN_U][(uvJ * image->yuvRowBytes[AVIF_CHAN_U])]; |
| const uint16_t * const ptrV = (uint16_t *)&image->yuvPlanes[AVIF_CHAN_V][(uvJ * image->yuvRowBytes[AVIF_CHAN_V])]; |
| uint8_t * ptrR = &rgb->pixels[state->rgbOffsetBytesR + (j * rgb->rowBytes)]; |
| uint8_t * ptrG = &rgb->pixels[state->rgbOffsetBytesG + (j * rgb->rowBytes)]; |
| uint8_t * ptrB = &rgb->pixels[state->rgbOffsetBytesB + (j * rgb->rowBytes)]; |
| |
| for (uint32_t i = 0; i < image->width; ++i) { |
| uint32_t uvI = i >> state->formatInfo.chromaShiftX; |
| |
| // clamp incoming data to protect against bad LUT lookups |
| const uint16_t unormY = AVIF_MIN(ptrY[i], yuvMaxChannel); |
| const uint16_t unormU = AVIF_MIN(ptrU[uvI], yuvMaxChannel); |
| const uint16_t unormV = AVIF_MIN(ptrV[uvI], yuvMaxChannel); |
| |
| // Convert unorm to float |
| const float Y = unormFloatTableY[unormY]; |
| const float Cb = unormFloatTableUV[unormU]; |
| const float Cr = unormFloatTableUV[unormV]; |
| |
| const float R = Y + (2 * (1 - kr)) * Cr; |
| const float B = Y + (2 * (1 - kb)) * Cb; |
| const float G = Y - ((2 * ((kr * (1 - kr) * Cr) + (kb * (1 - kb) * Cb))) / kg); |
| const float Rc = AVIF_CLAMP(R, 0.0f, 1.0f); |
| const float Gc = AVIF_CLAMP(G, 0.0f, 1.0f); |
| const float Bc = AVIF_CLAMP(B, 0.0f, 1.0f); |
| |
| *((uint16_t *)ptrR) = (uint16_t)(0.5f + (Rc * rgbMaxChannelF)); |
| *((uint16_t *)ptrG) = (uint16_t)(0.5f + (Gc * rgbMaxChannelF)); |
| *((uint16_t *)ptrB) = (uint16_t)(0.5f + (Bc * rgbMaxChannelF)); |
| |
| ptrR += rgbPixelBytes; |
| ptrG += rgbPixelBytes; |
| ptrB += rgbPixelBytes; |
| } |
| } |
| return AVIF_RESULT_OK; |
| } |
| |
| static avifResult avifImageYUV16ToRGB16Mono(const avifImage * image, avifRGBImage * rgb, avifReformatState * state) |
| { |
| const float kr = state->kr; |
| const float kg = state->kg; |
| const float kb = state->kb; |
| const uint32_t rgbPixelBytes = state->rgbPixelBytes; |
| const float * const unormFloatTableY = state->unormFloatTableY; |
| |
| const uint16_t yuvMaxChannel = (uint16_t)state->yuvMaxChannel; |
| const float rgbMaxChannelF = state->rgbMaxChannelF; |
| for (uint32_t j = 0; j < image->height; ++j) { |
| const uint16_t * const ptrY = (uint16_t *)&image->yuvPlanes[AVIF_CHAN_Y][(j * image->yuvRowBytes[AVIF_CHAN_Y])]; |
| uint8_t * ptrR = &rgb->pixels[state->rgbOffsetBytesR + (j * rgb->rowBytes)]; |
| uint8_t * ptrG = &rgb->pixels[state->rgbOffsetBytesG + (j * rgb->rowBytes)]; |
| uint8_t * ptrB = &rgb->pixels[state->rgbOffsetBytesB + (j * rgb->rowBytes)]; |
| |
| for (uint32_t i = 0; i < image->width; ++i) { |
| // clamp incoming data to protect against bad LUT lookups |
| const uint16_t unormY = AVIF_MIN(ptrY[i], yuvMaxChannel); |
| |
| // Convert unorm to float |
| const float Y = unormFloatTableY[unormY]; |
| const float Cb = 0.0f; |
| const float Cr = 0.0f; |
| |
| const float R = Y + (2 * (1 - kr)) * Cr; |
| const float B = Y + (2 * (1 - kb)) * Cb; |
| const float G = Y - ((2 * ((kr * (1 - kr) * Cr) + (kb * (1 - kb) * Cb))) / kg); |
| const float Rc = AVIF_CLAMP(R, 0.0f, 1.0f); |
| const float Gc = AVIF_CLAMP(G, 0.0f, 1.0f); |
| const float Bc = AVIF_CLAMP(B, 0.0f, 1.0f); |
| |
| *((uint16_t *)ptrR) = (uint16_t)(0.5f + (Rc * rgbMaxChannelF)); |
| *((uint16_t *)ptrG) = (uint16_t)(0.5f + (Gc * rgbMaxChannelF)); |
| *((uint16_t *)ptrB) = (uint16_t)(0.5f + (Bc * rgbMaxChannelF)); |
| |
| ptrR += rgbPixelBytes; |
| ptrG += rgbPixelBytes; |
| ptrB += rgbPixelBytes; |
| } |
| } |
| return AVIF_RESULT_OK; |
| } |
| |
| static avifResult avifImageYUV16ToRGB8Color(const avifImage * image, avifRGBImage * rgb, avifReformatState * state) |
| { |
| const float kr = state->kr; |
| const float kg = state->kg; |
| const float kb = state->kb; |
| const uint32_t rgbPixelBytes = state->rgbPixelBytes; |
| const float * const unormFloatTableY = state->unormFloatTableY; |
| const float * const unormFloatTableUV = state->unormFloatTableUV; |
| |
| const uint16_t yuvMaxChannel = (uint16_t)state->yuvMaxChannel; |
| const float rgbMaxChannelF = state->rgbMaxChannelF; |
| for (uint32_t j = 0; j < image->height; ++j) { |
| const uint32_t uvJ = j >> state->formatInfo.chromaShiftY; |
| const uint16_t * const ptrY = (uint16_t *)&image->yuvPlanes[AVIF_CHAN_Y][(j * image->yuvRowBytes[AVIF_CHAN_Y])]; |
| const uint16_t * const ptrU = (uint16_t *)&image->yuvPlanes[AVIF_CHAN_U][(uvJ * image->yuvRowBytes[AVIF_CHAN_U])]; |
| const uint16_t * const ptrV = (uint16_t *)&image->yuvPlanes[AVIF_CHAN_V][(uvJ * image->yuvRowBytes[AVIF_CHAN_V])]; |
| uint8_t * ptrR = &rgb->pixels[state->rgbOffsetBytesR + (j * rgb->rowBytes)]; |
| uint8_t * ptrG = &rgb->pixels[state->rgbOffsetBytesG + (j * rgb->rowBytes)]; |
| uint8_t * ptrB = &rgb->pixels[state->rgbOffsetBytesB + (j * rgb->rowBytes)]; |
| |
| for (uint32_t i = 0; i < image->width; ++i) { |
| uint32_t uvI = i >> state->formatInfo.chromaShiftX; |
| |
| // clamp incoming data to protect against bad LUT lookups |
| const uint16_t unormY = AVIF_MIN(ptrY[i], yuvMaxChannel); |
| const uint16_t unormU = AVIF_MIN(ptrU[uvI], yuvMaxChannel); |
| const uint16_t unormV = AVIF_MIN(ptrV[uvI], yuvMaxChannel); |
| |
| // Convert unorm to float |
| const float Y = unormFloatTableY[unormY]; |
| const float Cb = unormFloatTableUV[unormU]; |
| const float Cr = unormFloatTableUV[unormV]; |
| |
| const float R = Y + (2 * (1 - kr)) * Cr; |
| const float B = Y + (2 * (1 - kb)) * Cb; |
| const float G = Y - ((2 * ((kr * (1 - kr) * Cr) + (kb * (1 - kb) * Cb))) / kg); |
| const float Rc = AVIF_CLAMP(R, 0.0f, 1.0f); |
| const float Gc = AVIF_CLAMP(G, 0.0f, 1.0f); |
| const float Bc = AVIF_CLAMP(B, 0.0f, 1.0f); |
| |
| avifStoreRGB8Pixel(rgb->format, |
| (uint8_t)(0.5f + (Rc * rgbMaxChannelF)), |
| (uint8_t)(0.5f + (Gc * rgbMaxChannelF)), |
| (uint8_t)(0.5f + (Bc * rgbMaxChannelF)), |
| ptrR, |
| ptrG, |
| ptrB); |
| |
| ptrR += rgbPixelBytes; |
| ptrG += rgbPixelBytes; |
| ptrB += rgbPixelBytes; |
| } |
| } |
| return AVIF_RESULT_OK; |
| } |
| |
| static avifResult avifImageYUV16ToRGB8Mono(const avifImage * image, avifRGBImage * rgb, avifReformatState * state) |
| { |
| const float kr = state->kr; |
| const float kg = state->kg; |
| const float kb = state->kb; |
| const uint32_t rgbPixelBytes = state->rgbPixelBytes; |
| const float * const unormFloatTableY = state->unormFloatTableY; |
| |
| const uint16_t yuvMaxChannel = (uint16_t)state->yuvMaxChannel; |
| const float rgbMaxChannelF = state->rgbMaxChannelF; |
| for (uint32_t j = 0; j < image->height; ++j) { |
| const uint16_t * const ptrY = (uint16_t *)&image->yuvPlanes[AVIF_CHAN_Y][(j * image->yuvRowBytes[AVIF_CHAN_Y])]; |
| uint8_t * ptrR = &rgb->pixels[state->rgbOffsetBytesR + (j * rgb->rowBytes)]; |
| uint8_t * ptrG = &rgb->pixels[state->rgbOffsetBytesG + (j * rgb->rowBytes)]; |
| uint8_t * ptrB = &rgb->pixels[state->rgbOffsetBytesB + (j * rgb->rowBytes)]; |
| |
| for (uint32_t i = 0; i < image->width; ++i) { |
| // clamp incoming data to protect against bad LUT lookups |
| const uint16_t unormY = AVIF_MIN(ptrY[i], yuvMaxChannel); |
| |
| // Convert unorm to float |
| const float Y = unormFloatTableY[unormY]; |
| const float Cb = 0.0f; |
| const float Cr = 0.0f; |
| |
| const float R = Y + (2 * (1 - kr)) * Cr; |
| const float B = Y + (2 * (1 - kb)) * Cb; |
| const float G = Y - ((2 * ((kr * (1 - kr) * Cr) + (kb * (1 - kb) * Cb))) / kg); |
| const float Rc = AVIF_CLAMP(R, 0.0f, 1.0f); |
| const float Gc = AVIF_CLAMP(G, 0.0f, 1.0f); |
| const float Bc = AVIF_CLAMP(B, 0.0f, 1.0f); |
| |
| avifStoreRGB8Pixel(rgb->format, |
| (uint8_t)(0.5f + (Rc * rgbMaxChannelF)), |
| (uint8_t)(0.5f + (Gc * rgbMaxChannelF)), |
| (uint8_t)(0.5f + (Bc * rgbMaxChannelF)), |
| ptrR, |
| ptrG, |
| ptrB); |
| |
| ptrR += rgbPixelBytes; |
| ptrG += rgbPixelBytes; |
| ptrB += rgbPixelBytes; |
| } |
| } |
| return AVIF_RESULT_OK; |
| } |
| |
| static avifResult avifImageYUV8ToRGB16Color(const avifImage * image, avifRGBImage * rgb, avifReformatState * state) |
| { |
| const float kr = state->kr; |
| const float kg = state->kg; |
| const float kb = state->kb; |
| const uint32_t rgbPixelBytes = state->rgbPixelBytes; |
| const float * const unormFloatTableY = state->unormFloatTableY; |
| const float * const unormFloatTableUV = state->unormFloatTableUV; |
| |
| const float rgbMaxChannelF = state->rgbMaxChannelF; |
| for (uint32_t j = 0; j < image->height; ++j) { |
| const uint32_t uvJ = j >> state->formatInfo.chromaShiftY; |
| const uint8_t * const ptrY = &image->yuvPlanes[AVIF_CHAN_Y][(j * image->yuvRowBytes[AVIF_CHAN_Y])]; |
| const uint8_t * const ptrU = &image->yuvPlanes[AVIF_CHAN_U][(uvJ * image->yuvRowBytes[AVIF_CHAN_U])]; |
| const uint8_t * const ptrV = &image->yuvPlanes[AVIF_CHAN_V][(uvJ * image->yuvRowBytes[AVIF_CHAN_V])]; |
| uint8_t * ptrR = &rgb->pixels[state->rgbOffsetBytesR + (j * rgb->rowBytes)]; |
| uint8_t * ptrG = &rgb->pixels[state->rgbOffsetBytesG + (j * rgb->rowBytes)]; |
| uint8_t * ptrB = &rgb->pixels[state->rgbOffsetBytesB + (j * rgb->rowBytes)]; |
| |
| for (uint32_t i = 0; i < image->width; ++i) { |
| uint32_t uvI = i >> state->formatInfo.chromaShiftX; |
| |
| // Convert unorm to float (no clamp necessary, the full uint8_t range is a legal lookup) |
| const float Y = unormFloatTableY[ptrY[i]]; |
| const float Cb = unormFloatTableUV[ptrU[uvI]]; |
| const float Cr = unormFloatTableUV[ptrV[uvI]]; |
| |
| const float R = Y + (2 * (1 - kr)) * Cr; |
| const float B = Y + (2 * (1 - kb)) * Cb; |
| const float G = Y - ((2 * ((kr * (1 - kr) * Cr) + (kb * (1 - kb) * Cb))) / kg); |
| const float Rc = AVIF_CLAMP(R, 0.0f, 1.0f); |
| const float Gc = AVIF_CLAMP(G, 0.0f, 1.0f); |
| const float Bc = AVIF_CLAMP(B, 0.0f, 1.0f); |
| |
| *((uint16_t *)ptrR) = (uint16_t)(0.5f + (Rc * rgbMaxChannelF)); |
| *((uint16_t *)ptrG) = (uint16_t)(0.5f + (Gc * rgbMaxChannelF)); |
| *((uint16_t *)ptrB) = (uint16_t)(0.5f + (Bc * rgbMaxChannelF)); |
| |
| ptrR += rgbPixelBytes; |
| ptrG += rgbPixelBytes; |
| ptrB += rgbPixelBytes; |
| } |
| } |
| return AVIF_RESULT_OK; |
| } |
| |
| static avifResult avifImageYUV8ToRGB16Mono(const avifImage * image, avifRGBImage * rgb, avifReformatState * state) |
| { |
| const float kr = state->kr; |
| const float kg = state->kg; |
| const float kb = state->kb; |
| const uint32_t rgbPixelBytes = state->rgbPixelBytes; |
| const float * const unormFloatTableY = state->unormFloatTableY; |
| |
| const float rgbMaxChannelF = state->rgbMaxChannelF; |
| for (uint32_t j = 0; j < image->height; ++j) { |
| const uint8_t * const ptrY = &image->yuvPlanes[AVIF_CHAN_Y][(j * image->yuvRowBytes[AVIF_CHAN_Y])]; |
| uint8_t * ptrR = &rgb->pixels[state->rgbOffsetBytesR + (j * rgb->rowBytes)]; |
| uint8_t * ptrG = &rgb->pixels[state->rgbOffsetBytesG + (j * rgb->rowBytes)]; |
| uint8_t * ptrB = &rgb->pixels[state->rgbOffsetBytesB + (j * rgb->rowBytes)]; |
| |
| for (uint32_t i = 0; i < image->width; ++i) { |
| // Convert unorm to float (no clamp necessary, the full uint8_t range is a legal lookup) |
| const float Y = unormFloatTableY[ptrY[i]]; |
| const float Cb = 0.0f; |
| const float Cr = 0.0f; |
| |
| const float R = Y + (2 * (1 - kr)) * Cr; |
| const float B = Y + (2 * (1 - kb)) * Cb; |
| const float G = Y - ((2 * ((kr * (1 - kr) * Cr) + (kb * (1 - kb) * Cb))) / kg); |
| const float Rc = AVIF_CLAMP(R, 0.0f, 1.0f); |
| const float Gc = AVIF_CLAMP(G, 0.0f, 1.0f); |
| const float Bc = AVIF_CLAMP(B, 0.0f, 1.0f); |
| |
| *((uint16_t *)ptrR) = (uint16_t)(0.5f + (Rc * rgbMaxChannelF)); |
| *((uint16_t *)ptrG) = (uint16_t)(0.5f + (Gc * rgbMaxChannelF)); |
| *((uint16_t *)ptrB) = (uint16_t)(0.5f + (Bc * rgbMaxChannelF)); |
| |
| ptrR += rgbPixelBytes; |
| ptrG += rgbPixelBytes; |
| ptrB += rgbPixelBytes; |
| } |
| } |
| return AVIF_RESULT_OK; |
| } |
| |
| static avifResult avifImageIdentity8ToRGB8ColorFullRange(const avifImage * image, avifRGBImage * rgb, avifReformatState * state) |
| { |
| const uint32_t rgbPixelBytes = state->rgbPixelBytes; |
| for (uint32_t j = 0; j < image->height; ++j) { |
| const uint8_t * const ptrY = &image->yuvPlanes[AVIF_CHAN_Y][(j * image->yuvRowBytes[AVIF_CHAN_Y])]; |
| const uint8_t * const ptrU = &image->yuvPlanes[AVIF_CHAN_U][(j * image->yuvRowBytes[AVIF_CHAN_U])]; |
| const uint8_t * const ptrV = &image->yuvPlanes[AVIF_CHAN_V][(j * image->yuvRowBytes[AVIF_CHAN_V])]; |
| uint8_t * ptrR = &rgb->pixels[state->rgbOffsetBytesR + (j * rgb->rowBytes)]; |
| uint8_t * ptrG = &rgb->pixels[state->rgbOffsetBytesG + (j * rgb->rowBytes)]; |
| uint8_t * ptrB = &rgb->pixels[state->rgbOffsetBytesB + (j * rgb->rowBytes)]; |
| |
| // This is intentionally a per-row conditional instead of a per-pixel |
| // conditional. This makes the "else" path (much more common than the |
| // "if" path) much faster than having a per-pixel branch. |
| if (rgb->format == AVIF_RGB_FORMAT_RGB_565) { |
| for (uint32_t i = 0; i < image->width; ++i) { |
| *(uint16_t *)ptrR = RGB565(ptrV[i], ptrY[i], ptrU[i]); |
| ptrR += rgbPixelBytes; |
| } |
| } else { |
| for (uint32_t i = 0; i < image->width; ++i) { |
| *ptrR = ptrV[i]; |
| *ptrG = ptrY[i]; |
| *ptrB = ptrU[i]; |
| ptrR += rgbPixelBytes; |
| ptrG += rgbPixelBytes; |
| ptrB += rgbPixelBytes; |
| } |
| } |
| } |
| return AVIF_RESULT_OK; |
| } |
| |
| static avifResult avifImageYUV8ToRGB8Color(const avifImage * image, avifRGBImage * rgb, avifReformatState * state) |
| { |
| const float kr = state->kr; |
| const float kg = state->kg; |
| const float kb = state->kb; |
| const uint32_t rgbPixelBytes = state->rgbPixelBytes; |
| const float * const unormFloatTableY = state->unormFloatTableY; |
| const float * const unormFloatTableUV = state->unormFloatTableUV; |
| |
| const float rgbMaxChannelF = state->rgbMaxChannelF; |
| for (uint32_t j = 0; j < image->height; ++j) { |
| const uint32_t uvJ = j >> state->formatInfo.chromaShiftY; |
| const uint8_t * const ptrY = &image->yuvPlanes[AVIF_CHAN_Y][(j * image->yuvRowBytes[AVIF_CHAN_Y])]; |
| const uint8_t * const ptrU = &image->yuvPlanes[AVIF_CHAN_U][(uvJ * image->yuvRowBytes[AVIF_CHAN_U])]; |
| const uint8_t * const ptrV = &image->yuvPlanes[AVIF_CHAN_V][(uvJ * image->yuvRowBytes[AVIF_CHAN_V])]; |
| uint8_t * ptrR = &rgb->pixels[state->rgbOffsetBytesR + (j * rgb->rowBytes)]; |
| uint8_t * ptrG = &rgb->pixels[state->rgbOffsetBytesG + (j * rgb->rowBytes)]; |
| uint8_t * ptrB = &rgb->pixels[state->rgbOffsetBytesB + (j * rgb->rowBytes)]; |
| |
| for (uint32_t i = 0; i < image->width; ++i) { |
| uint32_t uvI = i >> state->formatInfo.chromaShiftX; |
| |
| // Convert unorm to float (no clamp necessary, the full uint8_t range is a legal lookup) |
| const float Y = unormFloatTableY[ptrY[i]]; |
| const float Cb = unormFloatTableUV[ptrU[uvI]]; |
| const float Cr = unormFloatTableUV[ptrV[uvI]]; |
| |
| const float R = Y + (2 * (1 - kr)) * Cr; |
| const float B = Y + (2 * (1 - kb)) * Cb; |
| const float G = Y - ((2 * ((kr * (1 - kr) * Cr) + (kb * (1 - kb) * Cb))) / kg); |
| const float Rc = AVIF_CLAMP(R, 0.0f, 1.0f); |
| const float Gc = AVIF_CLAMP(G, 0.0f, 1.0f); |
| const float Bc = AVIF_CLAMP(B, 0.0f, 1.0f); |
| |
| avifStoreRGB8Pixel(rgb->format, |
| (uint8_t)(0.5f + (Rc * rgbMaxChannelF)), |
| (uint8_t)(0.5f + (Gc * rgbMaxChannelF)), |
| (uint8_t)(0.5f + (Bc * rgbMaxChannelF)), |
| ptrR, |
| ptrG, |
| ptrB); |
| |
| ptrR += rgbPixelBytes; |
| ptrG += rgbPixelBytes; |
| ptrB += rgbPixelBytes; |
| } |
| } |
| return AVIF_RESULT_OK; |
| } |
| |
| static avifResult avifImageYUV8ToRGB8Mono(const avifImage * image, avifRGBImage * rgb, avifReformatState * state) |
| { |
| const float kr = state->kr; |
| const float kg = state->kg; |
| const float kb = state->kb; |
| const uint32_t rgbPixelBytes = state->rgbPixelBytes; |
| const float * const unormFloatTableY = state->unormFloatTableY; |
| |
| const float rgbMaxChannelF = state->rgbMaxChannelF; |
| for (uint32_t j = 0; j < image->height; ++j) { |
| const uint8_t * const ptrY = &image->yuvPlanes[AVIF_CHAN_Y][(j * image->yuvRowBytes[AVIF_CHAN_Y])]; |
| uint8_t * ptrR = &rgb->pixels[state->rgbOffsetBytesR + (j * rgb->rowBytes)]; |
| uint8_t * ptrG = &rgb->pixels[state->rgbOffsetBytesG + (j * rgb->rowBytes)]; |
| uint8_t * ptrB = &rgb->pixels[state->rgbOffsetBytesB + (j * rgb->rowBytes)]; |
| |
| for (uint32_t i = 0; i < image->width; ++i) { |
| // Convert unorm to float (no clamp necessary, the full uint8_t range is a legal lookup) |
| const float Y = unormFloatTableY[ptrY[i]]; |
| const float Cb = 0.0f; |
| const float Cr = 0.0f; |
| |
| const float R = Y + (2 * (1 - kr)) * Cr; |
| const float B = Y + (2 * (1 - kb)) * Cb; |
| const float G = Y - ((2 * ((kr * (1 - kr) * Cr) + (kb * (1 - kb) * Cb))) / kg); |
| const float Rc = AVIF_CLAMP(R, 0.0f, 1.0f); |
| const float Gc = AVIF_CLAMP(G, 0.0f, 1.0f); |
| const float Bc = AVIF_CLAMP(B, 0.0f, 1.0f); |
| |
| avifStoreRGB8Pixel(rgb->format, |
| (uint8_t)(0.5f + (Rc * rgbMaxChannelF)), |
| (uint8_t)(0.5f + (Gc * rgbMaxChannelF)), |
| (uint8_t)(0.5f + (Bc * rgbMaxChannelF)), |
| ptrR, |
| ptrG, |
| ptrB); |
| |
| ptrR += rgbPixelBytes; |
| ptrG += rgbPixelBytes; |
| ptrB += rgbPixelBytes; |
| } |
| } |
| return AVIF_RESULT_OK; |
| } |
| |
| static avifResult avifRGBImageToF16(avifRGBImage * rgb, avifYUVToRGBFlags flags) |
| { |
| avifResult libyuvResult = AVIF_RESULT_NOT_IMPLEMENTED; |
| if (!(flags & AVIF_YUV_TO_RGB_AVOID_LIBYUV)) { |
| libyuvResult = avifRGBImageToF16LibYUV(rgb); |
| } |
| if (libyuvResult != AVIF_RESULT_NOT_IMPLEMENTED) { |
| return libyuvResult; |
| } |
| const uint32_t channelCount = avifRGBFormatChannelCount(rgb->format); |
| const float scale = 1.0f / ((1 << rgb->depth) - 1); |
| // This constant comes from libyuv. For details, see here: |
| // https://chromium.googlesource.com/libyuv/libyuv/+/2f87e9a7/source/row_common.cc#3537 |
| const float multiplier = 1.9259299444e-34f * scale; |
| uint16_t * pixelRowBase = (uint16_t *)rgb->pixels; |
| const uint32_t stride = rgb->rowBytes >> 1; |
| for (uint32_t j = 0; j < rgb->height; ++j) { |
| uint16_t * pixel = pixelRowBase; |
| for (uint32_t i = 0; i < rgb->width * channelCount; ++i, ++pixel) { |
| union |
| { |
| float f; |
| uint32_t u32; |
| } f16; |
| f16.f = *pixel * multiplier; |
| *pixel = (uint16_t)(f16.u32 >> 13); |
| } |
| pixelRowBase += stride; |
| } |
| return AVIF_RESULT_OK; |
| } |
| |
| avifResult avifImageYUVToRGB(const avifImage * image, avifRGBImage * rgb, avifYUVToRGBFlags flags) |
| { |
| if (!image->yuvPlanes[AVIF_CHAN_Y]) { |
| return AVIF_RESULT_REFORMAT_FAILED; |
| } |
| |
| avifReformatState state; |
| if (!avifPrepareReformatState(image, rgb, &state)) { |
| return AVIF_RESULT_REFORMAT_FAILED; |
| } |
| |
| // At most one filter can be specified. |
| if ((flags & AVIF_CHROMA_UPSAMPLING_NEAREST) && (flags & AVIF_CHROMA_UPSAMPLING_BILINEAR)) { |
| return AVIF_RESULT_REFORMAT_FAILED; |
| } |
| |
| avifAlphaMultiplyMode alphaMultiplyMode = state.toRGBAlphaMode; |
| avifBool convertedWithLibYUV = AVIF_FALSE; |
| if (!(flags & AVIF_YUV_TO_RGB_AVOID_LIBYUV) && |
| ((alphaMultiplyMode == AVIF_ALPHA_MULTIPLY_MODE_NO_OP) || avifRGBFormatHasAlpha(rgb->format))) { |
| avifResult libyuvResult = avifImageYUVToRGBLibYUV(image, rgb, flags); |
| if (libyuvResult == AVIF_RESULT_OK) { |
| convertedWithLibYUV = AVIF_TRUE; |
| } else { |
| if (libyuvResult != AVIF_RESULT_NOT_IMPLEMENTED) { |
| return libyuvResult; |
| } |
| } |
| } |
| |
| // Reformat alpha, if user asks for it, or (un)multiply processing needs it. |
| if (avifRGBFormatHasAlpha(rgb->format) && (!rgb->ignoreAlpha || (alphaMultiplyMode != AVIF_ALPHA_MULTIPLY_MODE_NO_OP))) { |
| avifAlphaParams params; |
| |
| params.width = rgb->width; |
| params.height = rgb->height; |
| params.dstDepth = rgb->depth; |
| params.dstPlane = rgb->pixels; |
| params.dstRowBytes = rgb->rowBytes; |
| params.dstOffsetBytes = state.rgbOffsetBytesA; |
| params.dstPixelBytes = state.rgbPixelBytes; |
| |
| if (image->alphaPlane && image->alphaRowBytes) { |
| params.srcDepth = image->depth; |
| params.srcPlane = image->alphaPlane; |
| params.srcRowBytes = image->alphaRowBytes; |
| params.srcOffsetBytes = 0; |
| params.srcPixelBytes = state.yuvChannelBytes; |
| |
| avifReformatAlpha(¶ms); |
| } else { |
| if (!convertedWithLibYUV) { // libyuv fills alpha for us |
| avifFillAlpha(¶ms); |
| } |
| } |
| } |
| |
| if (!convertedWithLibYUV) { |
| // libyuv is either unavailable or unable to perform the specific conversion required here. |
| // Look over the available built-in "fast" routines for YUV->RGB conversion and see if one |
| // fits the current combination, or as a last resort, call avifImageYUVAnyToRGBAnySlow(), |
| // which handles every possibly YUV->RGB combination, but very slowly (in comparison). |
| |
| avifResult convertResult = AVIF_RESULT_NOT_IMPLEMENTED; |
| |
| const avifBool hasColor = |
| (image->yuvRowBytes[AVIF_CHAN_U] && image->yuvRowBytes[AVIF_CHAN_V] && (image->yuvFormat != AVIF_PIXEL_FORMAT_YUV400)); |
| |
| if ((!hasColor || (image->yuvFormat == AVIF_PIXEL_FORMAT_YUV444) || (flags & AVIF_CHROMA_UPSAMPLING_NEAREST)) && |
| (alphaMultiplyMode == AVIF_ALPHA_MULTIPLY_MODE_NO_OP || avifRGBFormatHasAlpha(rgb->format))) { |
| // Explanations on the above conditional: |
| // * None of these fast paths currently support bilinear upsampling, so avoid all of them |
| // unless the YUV data isn't subsampled or they explicitly requested AVIF_CHROMA_UPSAMPLING_NEAREST. |
| // * None of these fast paths currently handle alpha (un)multiply, so avoid all of them |
| // if we can't do alpha (un)multiply as a separated post step (destination format doesn't have alpha). |
| |
| if (state.mode == AVIF_REFORMAT_MODE_IDENTITY) { |
| if ((image->depth == 8) && (rgb->depth == 8) && (image->yuvFormat == AVIF_PIXEL_FORMAT_YUV444) && |
| (image->yuvRange == AVIF_RANGE_FULL)) { |
| convertResult = avifImageIdentity8ToRGB8ColorFullRange(image, rgb, &state); |
| } |
| |
| // TODO: Add more fast paths for identity |
| } else if (state.mode == AVIF_REFORMAT_MODE_YUV_COEFFICIENTS) { |
| if (image->depth > 8) { |
| // yuv:u16 |
| |
| if (rgb->depth > 8) { |
| // yuv:u16, rgb:u16 |
| |
| if (hasColor) { |
| convertResult = avifImageYUV16ToRGB16Color(image, rgb, &state); |
| } else { |
| convertResult = avifImageYUV16ToRGB16Mono(image, rgb, &state); |
| } |
| } else { |
| // yuv:u16, rgb:u8 |
| |
| if (hasColor) { |
| convertResult = avifImageYUV16ToRGB8Color(image, rgb, &state); |
| } else { |
| convertResult = avifImageYUV16ToRGB8Mono(image, rgb, &state); |
| } |
| } |
| } else { |
| // yuv:u8 |
| |
| if (rgb->depth > 8) { |
| // yuv:u8, rgb:u16 |
| |
| if (hasColor) { |
| convertResult = avifImageYUV8ToRGB16Color(image, rgb, &state); |
| } else { |
| convertResult = avifImageYUV8ToRGB16Mono(image, rgb, &state); |
| } |
| } else { |
| // yuv:u8, rgb:u8 |
| |
| if (hasColor) { |
| convertResult = avifImageYUV8ToRGB8Color(image, rgb, &state); |
| } else { |
| convertResult = avifImageYUV8ToRGB8Mono(image, rgb, &state); |
| } |
| } |
| } |
| } |
| } |
| |
| if (convertResult == AVIF_RESULT_NOT_IMPLEMENTED) { |
| // If we get here, there is no fast path for this combination. Time to be slow! |
| convertResult = avifImageYUVAnyToRGBAnySlow(image, rgb, &state, flags); |
| |
| // The slow path also handles alpha (un)multiply, so forget the operation here. |
| alphaMultiplyMode = AVIF_ALPHA_MULTIPLY_MODE_NO_OP; |
| } |
| |
| if (convertResult != AVIF_RESULT_OK) { |
| return convertResult; |
| } |
| } |
| |
| // Process alpha premultiplication, if necessary |
| if (alphaMultiplyMode == AVIF_ALPHA_MULTIPLY_MODE_MULTIPLY) { |
| avifResult result = avifRGBImagePremultiplyAlpha(rgb); |
| if (result != AVIF_RESULT_OK) { |
| return result; |
| } |
| } else if (alphaMultiplyMode == AVIF_ALPHA_MULTIPLY_MODE_UNMULTIPLY) { |
| avifResult result = avifRGBImageUnpremultiplyAlpha(rgb); |
| if (result != AVIF_RESULT_OK) { |
| return result; |
| } |
| } |
| |
| // Convert pixels to half floats (F16), if necessary. |
| if (rgb->isFloat) { |
| return avifRGBImageToF16(rgb, flags); |
| } |
| |
| return AVIF_RESULT_OK; |
| } |
| |
| // Limited -> Full |
| // Plan: subtract limited offset, then multiply by ratio of FULLSIZE/LIMITEDSIZE (rounding), then clamp. |
| // RATIO = (FULLY - 0) / (MAXLIMITEDY - MINLIMITEDY) |
| // ----------------------------------------- |
| // ( ( (v - MINLIMITEDY) | subtract limited offset |
| // * FULLY | multiply numerator of ratio |
| // ) + ((MAXLIMITEDY - MINLIMITEDY) / 2) | add 0.5 (half of denominator) to round |
| // ) / (MAXLIMITEDY - MINLIMITEDY) | divide by denominator of ratio |
| // AVIF_CLAMP(v, 0, FULLY) | clamp to full range |
| // ----------------------------------------- |
| #define LIMITED_TO_FULL(MINLIMITEDY, MAXLIMITEDY, FULLY) \ |
| v = (((v - MINLIMITEDY) * FULLY) + ((MAXLIMITEDY - MINLIMITEDY) / 2)) / (MAXLIMITEDY - MINLIMITEDY); \ |
| v = AVIF_CLAMP(v, 0, FULLY) |
| |
| // Full -> Limited |
| // Plan: multiply by ratio of LIMITEDSIZE/FULLSIZE (rounding), then add limited offset, then clamp. |
| // RATIO = (MAXLIMITEDY - MINLIMITEDY) / (FULLY - 0) |
| // ----------------------------------------- |
| // ( ( (v * (MAXLIMITEDY - MINLIMITEDY)) | multiply numerator of ratio |
| // + (FULLY / 2) | add 0.5 (half of denominator) to round |
| // ) / FULLY | divide by denominator of ratio |
| // ) + MINLIMITEDY | add limited offset |
| // AVIF_CLAMP(v, MINLIMITEDY, MAXLIMITEDY) | clamp to limited range |
| // ----------------------------------------- |
| #define FULL_TO_LIMITED(MINLIMITEDY, MAXLIMITEDY, FULLY) \ |
| v = (((v * (MAXLIMITEDY - MINLIMITEDY)) + (FULLY / 2)) / FULLY) + MINLIMITEDY; \ |
| v = AVIF_CLAMP(v, MINLIMITEDY, MAXLIMITEDY) |
| |
| int avifLimitedToFullY(int depth, int v) |
| { |
| switch (depth) { |
| case 8: |
| LIMITED_TO_FULL(16, 235, 255); |
| break; |
| case 10: |
| LIMITED_TO_FULL(64, 940, 1023); |
| break; |
| case 12: |
| LIMITED_TO_FULL(256, 3760, 4095); |
| break; |
| } |
| return v; |
| } |
| |
| int avifLimitedToFullUV(int depth, int v) |
| { |
| switch (depth) { |
| case 8: |
| LIMITED_TO_FULL(16, 240, 255); |
| break; |
| case 10: |
| LIMITED_TO_FULL(64, 960, 1023); |
| break; |
| case 12: |
| LIMITED_TO_FULL(256, 3840, 4095); |
| break; |
| } |
| return v; |
| } |
| |
| int avifFullToLimitedY(int depth, int v) |
| { |
| switch (depth) { |
| case 8: |
| FULL_TO_LIMITED(16, 235, 255); |
| break; |
| case 10: |
| FULL_TO_LIMITED(64, 940, 1023); |
| break; |
| case 12: |
| FULL_TO_LIMITED(256, 3760, 4095); |
| break; |
| } |
| return v; |
| } |
| |
| int avifFullToLimitedUV(int depth, int v) |
| { |
| switch (depth) { |
| case 8: |
| FULL_TO_LIMITED(16, 240, 255); |
| break; |
| case 10: |
| FULL_TO_LIMITED(64, 960, 1023); |
| break; |
| case 12: |
| FULL_TO_LIMITED(256, 3840, 4095); |
| break; |
| } |
| return v; |
| } |