// Copyright (c) the JPEG XL Project Authors. All rights reserved. // // Use of this source code is governed by a BSD-style // license that can be found in the LICENSE file. #include "lib/jxl/quant_weights.h" #include #include #include #include #include #include #include "lib/jxl/base/bits.h" #include "lib/jxl/base/status.h" #include "lib/jxl/common.h" #include "lib/jxl/dct_scales.h" #include "lib/jxl/dec_modular.h" #include "lib/jxl/fields.h" #include "lib/jxl/image.h" #undef HWY_TARGET_INCLUDE #define HWY_TARGET_INCLUDE "lib/jxl/quant_weights.cc" #include #include #include "lib/jxl/fast_math-inl.h" HWY_BEFORE_NAMESPACE(); namespace jxl { namespace HWY_NAMESPACE { // These templates are not found via ADL. using hwy::HWY_NAMESPACE::Lt; using hwy::HWY_NAMESPACE::MulAdd; using hwy::HWY_NAMESPACE::Sqrt; // kQuantWeights[N * N * c + N * y + x] is the relative weight of the (x, y) // coefficient in component c. Higher weights correspond to finer quantization // intervals and more bits spent in encoding. static constexpr const float kAlmostZero = 1e-8f; void GetQuantWeightsDCT2(const QuantEncoding::DCT2Weights& dct2weights, float* weights) { for (size_t c = 0; c < 3; c++) { size_t start = c * 64; weights[start] = 0xBAD; weights[start + 1] = weights[start + 8] = dct2weights[c][0]; weights[start + 9] = dct2weights[c][1]; for (size_t y = 0; y < 2; y++) { for (size_t x = 0; x < 2; x++) { weights[start + y * 8 + x + 2] = dct2weights[c][2]; weights[start + (y + 2) * 8 + x] = dct2weights[c][2]; } } for (size_t y = 0; y < 2; y++) { for (size_t x = 0; x < 2; x++) { weights[start + (y + 2) * 8 + x + 2] = dct2weights[c][3]; } } for (size_t y = 0; y < 4; y++) { for (size_t x = 0; x < 4; x++) { weights[start + y * 8 + x + 4] = dct2weights[c][4]; weights[start + (y + 4) * 8 + x] = dct2weights[c][4]; } } for (size_t y = 0; y < 4; y++) { for (size_t x = 0; x < 4; x++) { weights[start + (y + 4) * 8 + x + 4] = dct2weights[c][5]; } } } } void GetQuantWeightsIdentity(const QuantEncoding::IdWeights& idweights, float* weights) { for (size_t c = 0; c < 3; c++) { for (int i = 0; i < 64; i++) { weights[64 * c + i] = idweights[c][0]; } weights[64 * c + 1] = idweights[c][1]; weights[64 * c + 8] = idweights[c][1]; weights[64 * c + 9] = idweights[c][2]; } } float Interpolate(float pos, float max, const float* array, size_t len) { float scaled_pos = pos * (len - 1) / max; size_t idx = scaled_pos; JXL_DASSERT(idx + 1 < len); float a = array[idx]; float b = array[idx + 1]; return a * FastPowf(b / a, scaled_pos - idx); } float Mult(float v) { if (v > 0.0f) return 1.0f + v; return 1.0f / (1.0f - v); } using DF4 = HWY_CAPPED(float, 4); hwy::HWY_NAMESPACE::Vec InterpolateVec( hwy::HWY_NAMESPACE::Vec scaled_pos, const float* array) { HWY_CAPPED(int32_t, 4) di; auto idx = ConvertTo(di, scaled_pos); auto frac = Sub(scaled_pos, ConvertTo(DF4(), idx)); // TODO(veluca): in theory, this could be done with 8 TableLookupBytes, but // it's probably slower. auto a = GatherIndex(DF4(), array, idx); auto b = GatherIndex(DF4(), array + 1, idx); return Mul(a, FastPowf(DF4(), Div(b, a), frac)); } // Computes quant weights for a COLS*ROWS-sized transform, using num_bands // eccentricity bands and num_ebands eccentricity bands. If print_mode is 1, // prints the resulting matrix; if print_mode is 2, prints the matrix in a // format suitable for a 3d plot with gnuplot. Status GetQuantWeights( size_t ROWS, size_t COLS, const DctQuantWeightParams::DistanceBandsArray& distance_bands, size_t num_bands, float* out) { for (size_t c = 0; c < 3; c++) { float bands[DctQuantWeightParams::kMaxDistanceBands] = { distance_bands[c][0]}; if (bands[0] < kAlmostZero) return JXL_FAILURE("Invalid distance bands"); for (size_t i = 1; i < num_bands; i++) { bands[i] = bands[i - 1] * Mult(distance_bands[c][i]); if (bands[i] < kAlmostZero) return JXL_FAILURE("Invalid distance bands"); } float scale = (num_bands - 1) / (kSqrt2 + 1e-6f); float rcpcol = scale / (COLS - 1); float rcprow = scale / (ROWS - 1); JXL_ASSERT(COLS >= Lanes(DF4())); HWY_ALIGN float l0123[4] = {0, 1, 2, 3}; for (uint32_t y = 0; y < ROWS; y++) { float dy = y * rcprow; float dy2 = dy * dy; for (uint32_t x = 0; x < COLS; x += Lanes(DF4())) { auto dx = Mul(Add(Set(DF4(), x), Load(DF4(), l0123)), Set(DF4(), rcpcol)); auto scaled_distance = Sqrt(MulAdd(dx, dx, Set(DF4(), dy2))); auto weight = num_bands == 1 ? Set(DF4(), bands[0]) : InterpolateVec(scaled_distance, bands); StoreU(weight, DF4(), out + c * COLS * ROWS + y * COLS + x); } } } return true; } // TODO(veluca): SIMD-fy. With 256x256, this is actually slow. Status ComputeQuantTable(const QuantEncoding& encoding, float* JXL_RESTRICT table, float* JXL_RESTRICT inv_table, size_t table_num, DequantMatrices::QuantTable kind, size_t* pos) { constexpr size_t N = kBlockDim; size_t wrows = 8 * DequantMatrices::required_size_x[kind], wcols = 8 * DequantMatrices::required_size_y[kind]; size_t num = wrows * wcols; std::vector weights(3 * num); switch (encoding.mode) { case QuantEncoding::kQuantModeLibrary: { // Library and copy quant encoding should get replaced by the actual // parameters by the caller. JXL_ASSERT(false); break; } case QuantEncoding::kQuantModeID: { JXL_ASSERT(num == kDCTBlockSize); GetQuantWeightsIdentity(encoding.idweights, weights.data()); break; } case QuantEncoding::kQuantModeDCT2: { JXL_ASSERT(num == kDCTBlockSize); GetQuantWeightsDCT2(encoding.dct2weights, weights.data()); break; } case QuantEncoding::kQuantModeDCT4: { JXL_ASSERT(num == kDCTBlockSize); float weights4x4[3 * 4 * 4]; // Always use 4x4 GetQuantWeights for DCT4 quantization tables. JXL_RETURN_IF_ERROR( GetQuantWeights(4, 4, encoding.dct_params.distance_bands, encoding.dct_params.num_distance_bands, weights4x4)); for (size_t c = 0; c < 3; c++) { for (size_t y = 0; y < kBlockDim; y++) { for (size_t x = 0; x < kBlockDim; x++) { weights[c * num + y * kBlockDim + x] = weights4x4[c * 16 + (y / 2) * 4 + (x / 2)]; } } weights[c * num + 1] /= encoding.dct4multipliers[c][0]; weights[c * num + N] /= encoding.dct4multipliers[c][0]; weights[c * num + N + 1] /= encoding.dct4multipliers[c][1]; } break; } case QuantEncoding::kQuantModeDCT4X8: { JXL_ASSERT(num == kDCTBlockSize); float weights4x8[3 * 4 * 8]; // Always use 4x8 GetQuantWeights for DCT4X8 quantization tables. JXL_RETURN_IF_ERROR( GetQuantWeights(4, 8, encoding.dct_params.distance_bands, encoding.dct_params.num_distance_bands, weights4x8)); for (size_t c = 0; c < 3; c++) { for (size_t y = 0; y < kBlockDim; y++) { for (size_t x = 0; x < kBlockDim; x++) { weights[c * num + y * kBlockDim + x] = weights4x8[c * 32 + (y / 2) * 8 + x]; } } weights[c * num + N] /= encoding.dct4x8multipliers[c]; } break; } case QuantEncoding::kQuantModeDCT: { JXL_RETURN_IF_ERROR(GetQuantWeights( wrows, wcols, encoding.dct_params.distance_bands, encoding.dct_params.num_distance_bands, weights.data())); break; } case QuantEncoding::kQuantModeRAW: { if (!encoding.qraw.qtable || encoding.qraw.qtable->size() != 3 * num) { return JXL_FAILURE("Invalid table encoding"); } for (size_t i = 0; i < 3 * num; i++) { weights[i] = 1.f / (encoding.qraw.qtable_den * (*encoding.qraw.qtable)[i]); } break; } case QuantEncoding::kQuantModeAFV: { constexpr float kFreqs[] = { 0xBAD, 0xBAD, 0.8517778890324296, 5.37778436506804, 0xBAD, 0xBAD, 4.734747904497923, 5.449245381693219, 1.6598270267479331, 4, 7.275749096817861, 10.423227632456525, 2.662932286148962, 7.630657783650829, 8.962388608184032, 12.97166202570235, }; float weights4x8[3 * 4 * 8]; JXL_RETURN_IF_ERROR(( GetQuantWeights(4, 8, encoding.dct_params.distance_bands, encoding.dct_params.num_distance_bands, weights4x8))); float weights4x4[3 * 4 * 4]; JXL_RETURN_IF_ERROR((GetQuantWeights( 4, 4, encoding.dct_params_afv_4x4.distance_bands, encoding.dct_params_afv_4x4.num_distance_bands, weights4x4))); constexpr float lo = 0.8517778890324296; constexpr float hi = 12.97166202570235f - lo + 1e-6f; for (size_t c = 0; c < 3; c++) { float bands[4]; bands[0] = encoding.afv_weights[c][5]; if (bands[0] < kAlmostZero) return JXL_FAILURE("Invalid AFV bands"); for (size_t i = 1; i < 4; i++) { bands[i] = bands[i - 1] * Mult(encoding.afv_weights[c][i + 5]); if (bands[i] < kAlmostZero) return JXL_FAILURE("Invalid AFV bands"); } size_t start = c * 64; auto set_weight = [&start, &weights](size_t x, size_t y, float val) { weights[start + y * 8 + x] = val; }; weights[start] = 1; // Not used, but causes MSAN error otherwise. // Weights for (0, 1) and (1, 0). set_weight(0, 1, encoding.afv_weights[c][0]); set_weight(1, 0, encoding.afv_weights[c][1]); // AFV special weights for 3-pixel corner. set_weight(0, 2, encoding.afv_weights[c][2]); set_weight(2, 0, encoding.afv_weights[c][3]); set_weight(2, 2, encoding.afv_weights[c][4]); // All other AFV weights. for (size_t y = 0; y < 4; y++) { for (size_t x = 0; x < 4; x++) { if (x < 2 && y < 2) continue; float val = Interpolate(kFreqs[y * 4 + x] - lo, hi, bands, 4); set_weight(2 * x, 2 * y, val); } } // Put 4x8 weights in odd rows, except (1, 0). for (size_t y = 0; y < kBlockDim / 2; y++) { for (size_t x = 0; x < kBlockDim; x++) { if (x == 0 && y == 0) continue; weights[c * num + (2 * y + 1) * kBlockDim + x] = weights4x8[c * 32 + y * 8 + x]; } } // Put 4x4 weights in even rows / odd columns, except (0, 1). for (size_t y = 0; y < kBlockDim / 2; y++) { for (size_t x = 0; x < kBlockDim / 2; x++) { if (x == 0 && y == 0) continue; weights[c * num + (2 * y) * kBlockDim + 2 * x + 1] = weights4x4[c * 16 + y * 4 + x]; } } } break; } } size_t prev_pos = *pos; HWY_CAPPED(float, 64) d; for (size_t i = 0; i < num * 3; i += Lanes(d)) { auto inv_val = LoadU(d, weights.data() + i); if (JXL_UNLIKELY(!AllFalse(d, Ge(inv_val, Set(d, 1.0f / kAlmostZero))) || !AllFalse(d, Lt(inv_val, Set(d, kAlmostZero))))) { return JXL_FAILURE("Invalid quantization table"); } auto val = Div(Set(d, 1.0f), inv_val); StoreU(val, d, table + *pos + i); StoreU(inv_val, d, inv_table + *pos + i); } (*pos) += 3 * num; // Ensure that the lowest frequencies have a 0 inverse table. // This does not affect en/decoding, but allows AC strategy selection to be // slightly simpler. size_t xs = DequantMatrices::required_size_x[kind]; size_t ys = DequantMatrices::required_size_y[kind]; CoefficientLayout(&ys, &xs); for (size_t c = 0; c < 3; c++) { for (size_t y = 0; y < ys; y++) { for (size_t x = 0; x < xs; x++) { inv_table[prev_pos + c * ys * xs * kDCTBlockSize + y * kBlockDim * xs + x] = 0; } } } return true; } // NOLINTNEXTLINE(google-readability-namespace-comments) } // namespace HWY_NAMESPACE } // namespace jxl HWY_AFTER_NAMESPACE(); #if HWY_ONCE namespace jxl { namespace { HWY_EXPORT(ComputeQuantTable); static constexpr const float kAlmostZero = 1e-8f; Status DecodeDctParams(BitReader* br, DctQuantWeightParams* params) { params->num_distance_bands = br->ReadFixedBits() + 1; for (size_t c = 0; c < 3; c++) { for (size_t i = 0; i < params->num_distance_bands; i++) { JXL_RETURN_IF_ERROR(F16Coder::Read(br, ¶ms->distance_bands[c][i])); } if (params->distance_bands[c][0] < kAlmostZero) { return JXL_FAILURE("Distance band seed is too small"); } params->distance_bands[c][0] *= 64.0f; } return true; } Status Decode(BitReader* br, QuantEncoding* encoding, size_t required_size_x, size_t required_size_y, size_t idx, ModularFrameDecoder* modular_frame_decoder) { size_t required_size = required_size_x * required_size_y; required_size_x *= kBlockDim; required_size_y *= kBlockDim; int mode = br->ReadFixedBits(); switch (mode) { case QuantEncoding::kQuantModeLibrary: { encoding->predefined = br->ReadFixedBits(); if (encoding->predefined >= kNumPredefinedTables) { return JXL_FAILURE("Invalid predefined table"); } break; } case QuantEncoding::kQuantModeID: { if (required_size != 1) return JXL_FAILURE("Invalid mode"); for (size_t c = 0; c < 3; c++) { for (size_t i = 0; i < 3; i++) { JXL_RETURN_IF_ERROR(F16Coder::Read(br, &encoding->idweights[c][i])); if (std::abs(encoding->idweights[c][i]) < kAlmostZero) { return JXL_FAILURE("ID Quantizer is too small"); } encoding->idweights[c][i] *= 64; } } break; } case QuantEncoding::kQuantModeDCT2: { if (required_size != 1) return JXL_FAILURE("Invalid mode"); for (size_t c = 0; c < 3; c++) { for (size_t i = 0; i < 6; i++) { JXL_RETURN_IF_ERROR(F16Coder::Read(br, &encoding->dct2weights[c][i])); if (std::abs(encoding->dct2weights[c][i]) < kAlmostZero) { return JXL_FAILURE("Quantizer is too small"); } encoding->dct2weights[c][i] *= 64; } } break; } case QuantEncoding::kQuantModeDCT4X8: { if (required_size != 1) return JXL_FAILURE("Invalid mode"); for (size_t c = 0; c < 3; c++) { JXL_RETURN_IF_ERROR( F16Coder::Read(br, &encoding->dct4x8multipliers[c])); if (std::abs(encoding->dct4x8multipliers[c]) < kAlmostZero) { return JXL_FAILURE("DCT4X8 multiplier is too small"); } } JXL_RETURN_IF_ERROR(DecodeDctParams(br, &encoding->dct_params)); break; } case QuantEncoding::kQuantModeDCT4: { if (required_size != 1) return JXL_FAILURE("Invalid mode"); for (size_t c = 0; c < 3; c++) { for (size_t i = 0; i < 2; i++) { JXL_RETURN_IF_ERROR( F16Coder::Read(br, &encoding->dct4multipliers[c][i])); if (std::abs(encoding->dct4multipliers[c][i]) < kAlmostZero) { return JXL_FAILURE("DCT4 multiplier is too small"); } } } JXL_RETURN_IF_ERROR(DecodeDctParams(br, &encoding->dct_params)); break; } case QuantEncoding::kQuantModeAFV: { if (required_size != 1) return JXL_FAILURE("Invalid mode"); for (size_t c = 0; c < 3; c++) { for (size_t i = 0; i < 9; i++) { JXL_RETURN_IF_ERROR(F16Coder::Read(br, &encoding->afv_weights[c][i])); } for (size_t i = 0; i < 6; i++) { encoding->afv_weights[c][i] *= 64; } } JXL_RETURN_IF_ERROR(DecodeDctParams(br, &encoding->dct_params)); JXL_RETURN_IF_ERROR(DecodeDctParams(br, &encoding->dct_params_afv_4x4)); break; } case QuantEncoding::kQuantModeDCT: { JXL_RETURN_IF_ERROR(DecodeDctParams(br, &encoding->dct_params)); break; } case QuantEncoding::kQuantModeRAW: { // Set mode early, to avoid mem-leak. encoding->mode = QuantEncoding::kQuantModeRAW; JXL_RETURN_IF_ERROR(ModularFrameDecoder::DecodeQuantTable( required_size_x, required_size_y, br, encoding, idx, modular_frame_decoder)); break; } default: return JXL_FAILURE("Invalid quantization table encoding"); } encoding->mode = QuantEncoding::Mode(mode); return true; } } // namespace // These definitions are needed before C++17. constexpr size_t DequantMatrices::required_size_[]; constexpr size_t DequantMatrices::required_size_x[]; constexpr size_t DequantMatrices::required_size_y[]; constexpr DequantMatrices::QuantTable DequantMatrices::kQuantTable[]; Status DequantMatrices::Decode(BitReader* br, ModularFrameDecoder* modular_frame_decoder) { size_t all_default = br->ReadBits(1); size_t num_tables = all_default ? 0 : static_cast(kNum); encodings_.clear(); encodings_.resize(kNum, QuantEncoding::Library(0)); for (size_t i = 0; i < num_tables; i++) { JXL_RETURN_IF_ERROR( jxl::Decode(br, &encodings_[i], required_size_x[i % kNum], required_size_y[i % kNum], i, modular_frame_decoder)); } computed_mask_ = 0; return true; } Status DequantMatrices::DecodeDC(BitReader* br) { bool all_default = br->ReadBits(1); if (!br->AllReadsWithinBounds()) return JXL_FAILURE("EOS during DecodeDC"); if (!all_default) { for (size_t c = 0; c < 3; c++) { JXL_RETURN_IF_ERROR(F16Coder::Read(br, &dc_quant_[c])); dc_quant_[c] *= 1.0f / 128.0f; // Negative values and nearly zero are invalid values. if (dc_quant_[c] < kAlmostZero) { return JXL_FAILURE("Invalid dc_quant: coefficient is too small."); } inv_dc_quant_[c] = 1.0f / dc_quant_[c]; } } return true; } constexpr float V(float v) { return static_cast(v); } namespace { struct DequantMatricesLibraryDef { // DCT8 static constexpr QuantEncodingInternal DCT() { return QuantEncodingInternal::DCT(DctQuantWeightParams({{{{ V(3150.0), V(0.0), V(-0.4), V(-0.4), V(-0.4), V(-2.0), }}, {{ V(560.0), V(0.0), V(-0.3), V(-0.3), V(-0.3), V(-0.3), }}, {{ V(512.0), V(-2.0), V(-1.0), V(0.0), V(-1.0), V(-2.0), }}}}, 6)); } // Identity static constexpr QuantEncodingInternal IDENTITY() { return QuantEncodingInternal::Identity({{{{ V(280.0), V(3160.0), V(3160.0), }}, {{ V(60.0), V(864.0), V(864.0), }}, {{ V(18.0), V(200.0), V(200.0), }}}}); } // DCT2 static constexpr QuantEncodingInternal DCT2X2() { return QuantEncodingInternal::DCT2({{{{ V(3840.0), V(2560.0), V(1280.0), V(640.0), V(480.0), V(300.0), }}, {{ V(960.0), V(640.0), V(320.0), V(180.0), V(140.0), V(120.0), }}, {{ V(640.0), V(320.0), V(128.0), V(64.0), V(32.0), V(16.0), }}}}); } // DCT4 (quant_kind 3) static constexpr QuantEncodingInternal DCT4X4() { return QuantEncodingInternal::DCT4(DctQuantWeightParams({{{{ V(2200.0), V(0.0), V(0.0), V(0.0), }}, {{ V(392.0), V(0.0), V(0.0), V(0.0), }}, {{ V(112.0), V(-0.25), V(-0.25), V(-0.5), }}}}, 4), /* kMul */ {{{{ V(1.0), V(1.0), }}, {{ V(1.0), V(1.0), }}, {{ V(1.0), V(1.0), }}}}); } // DCT16 static constexpr QuantEncodingInternal DCT16X16() { return QuantEncodingInternal::DCT( DctQuantWeightParams({{{{ V(8996.8725711814115328), V(-1.3000777393353804), V(-0.49424529824571225), V(-0.439093774457103443), V(-0.6350101832695744), V(-0.90177264050827612), V(-1.6162099239887414), }}, {{ V(3191.48366296844234752), V(-0.67424582104194355), V(-0.80745813428471001), V(-0.44925837484843441), V(-0.35865440981033403), V(-0.31322389111877305), V(-0.37615025315725483), }}, {{ V(1157.50408145487200256), V(-2.0531423165804414), V(-1.4), V(-0.50687130033378396), V(-0.42708730624733904), V(-1.4856834539296244), V(-4.9209142884401604), }}}}, 7)); } // DCT32 static constexpr QuantEncodingInternal DCT32X32() { return QuantEncodingInternal::DCT( DctQuantWeightParams({{{{ V(15718.40830982518931456), V(-1.025), V(-0.98), V(-0.9012), V(-0.4), V(-0.48819395464), V(-0.421064), V(-0.27), }}, {{ V(7305.7636810695983104), V(-0.8041958212306401), V(-0.7633036457487539), V(-0.55660379990111464), V(-0.49785304658857626), V(-0.43699592683512467), V(-0.40180866526242109), V(-0.27321683125358037), }}, {{ V(3803.53173721215041536), V(-3.060733579805728), V(-2.0413270132490346), V(-2.0235650159727417), V(-0.5495389509954993), V(-0.4), V(-0.4), V(-0.3), }}}}, 8)); } // DCT16X8 static constexpr QuantEncodingInternal DCT8X16() { return QuantEncodingInternal::DCT( DctQuantWeightParams({{{{ V(7240.7734393502), V(-0.7), V(-0.7), V(-0.2), V(-0.2), V(-0.2), V(-0.5), }}, {{ V(1448.15468787004), V(-0.5), V(-0.5), V(-0.5), V(-0.2), V(-0.2), V(-0.2), }}, {{ V(506.854140754517), V(-1.4), V(-0.2), V(-0.5), V(-0.5), V(-1.5), V(-3.6), }}}}, 7)); } // DCT32X8 static constexpr QuantEncodingInternal DCT8X32() { return QuantEncodingInternal::DCT( DctQuantWeightParams({{{{ V(16283.2494710648897), V(-1.7812845336559429), V(-1.6309059012653515), V(-1.0382179034313539), V(-0.85), V(-0.7), V(-0.9), V(-1.2360638576849587), }}, {{ V(5089.15750884921511936), V(-0.320049391452786891), V(-0.35362849922161446), V(-0.30340000000000003), V(-0.61), V(-0.5), V(-0.5), V(-0.6), }}, {{ V(3397.77603275308720128), V(-0.321327362693153371), V(-0.34507619223117997), V(-0.70340000000000003), V(-0.9), V(-1.0), V(-1.0), V(-1.1754605576265209), }}}}, 8)); } // DCT32X16 static constexpr QuantEncodingInternal DCT16X32() { return QuantEncodingInternal::DCT( DctQuantWeightParams({{{{ V(13844.97076442300573), V(-0.97113799999999995), V(-0.658), V(-0.42026), V(-0.22712), V(-0.2206), V(-0.226), V(-0.6), }}, {{ V(4798.964084220744293), V(-0.61125308982767057), V(-0.83770786552491361), V(-0.79014862079498627), V(-0.2692727459704829), V(-0.38272769465388551), V(-0.22924222653091453), V(-0.20719098826199578), }}, {{ V(1807.236946760964614), V(-1.2), V(-1.2), V(-0.7), V(-0.7), V(-0.7), V(-0.4), V(-0.5), }}}}, 8)); } // DCT4X8 and 8x4 static constexpr QuantEncodingInternal DCT4X8() { return QuantEncodingInternal::DCT4X8( DctQuantWeightParams({{ {{ V(2198.050556016380522), V(-0.96269623020744692), V(-0.76194253026666783), V(-0.6551140670773547), }}, {{ V(764.3655248643528689), V(-0.92630200888366945), V(-0.9675229603596517), V(-0.27845290869168118), }}, {{ V(527.107573587542228), V(-1.4594385811273854), V(-1.450082094097871593), V(-1.5843722511996204), }}, }}, 4), /* kMuls */ {{ V(1.0), V(1.0), V(1.0), }}); } // AFV static QuantEncodingInternal AFV0() { return QuantEncodingInternal::AFV(DCT4X8().dct_params, DCT4X4().dct_params, {{{{ // 4x4/4x8 DC tendency. V(3072.0), V(3072.0), // AFV corner. V(256.0), V(256.0), V(256.0), // AFV high freqs. V(414.0), V(0.0), V(0.0), V(0.0), }}, {{ // 4x4/4x8 DC tendency. V(1024.0), V(1024.0), // AFV corner. V(50), V(50), V(50), // AFV high freqs. V(58.0), V(0.0), V(0.0), V(0.0), }}, {{ // 4x4/4x8 DC tendency. V(384.0), V(384.0), // AFV corner. V(12.0), V(12.0), V(12.0), // AFV high freqs. V(22.0), V(-0.25), V(-0.25), V(-0.25), }}}}); } // DCT64 static QuantEncodingInternal DCT64X64() { return QuantEncodingInternal::DCT( DctQuantWeightParams({{{{ V(0.9 * 26629.073922049845), V(-1.025), V(-0.78), V(-0.65012), V(-0.19041574084286472), V(-0.20819395464), V(-0.421064), V(-0.32733845535848671), }}, {{ V(0.9 * 9311.3238710010046), V(-0.3041958212306401), V(-0.3633036457487539), V(-0.35660379990111464), V(-0.3443074455424403), V(-0.33699592683512467), V(-0.30180866526242109), V(-0.27321683125358037), }}, {{ V(0.9 * 4992.2486445538634), V(-1.2), V(-1.2), V(-0.8), V(-0.7), V(-0.7), V(-0.4), V(-0.5), }}}}, 8)); } // DCT64X32 static QuantEncodingInternal DCT32X64() { return QuantEncodingInternal::DCT( DctQuantWeightParams({{{{ V(0.65 * 23629.073922049845), V(-1.025), V(-0.78), V(-0.65012), V(-0.19041574084286472), V(-0.20819395464), V(-0.421064), V(-0.32733845535848671), }}, {{ V(0.65 * 8611.3238710010046), V(-0.3041958212306401), V(-0.3633036457487539), V(-0.35660379990111464), V(-0.3443074455424403), V(-0.33699592683512467), V(-0.30180866526242109), V(-0.27321683125358037), }}, {{ V(0.65 * 4492.2486445538634), V(-1.2), V(-1.2), V(-0.8), V(-0.7), V(-0.7), V(-0.4), V(-0.5), }}}}, 8)); } // DCT128X128 static QuantEncodingInternal DCT128X128() { return QuantEncodingInternal::DCT( DctQuantWeightParams({{{{ V(1.8 * 26629.073922049845), V(-1.025), V(-0.78), V(-0.65012), V(-0.19041574084286472), V(-0.20819395464), V(-0.421064), V(-0.32733845535848671), }}, {{ V(1.8 * 9311.3238710010046), V(-0.3041958212306401), V(-0.3633036457487539), V(-0.35660379990111464), V(-0.3443074455424403), V(-0.33699592683512467), V(-0.30180866526242109), V(-0.27321683125358037), }}, {{ V(1.8 * 4992.2486445538634), V(-1.2), V(-1.2), V(-0.8), V(-0.7), V(-0.7), V(-0.4), V(-0.5), }}}}, 8)); } // DCT128X64 static QuantEncodingInternal DCT64X128() { return QuantEncodingInternal::DCT( DctQuantWeightParams({{{{ V(1.3 * 23629.073922049845), V(-1.025), V(-0.78), V(-0.65012), V(-0.19041574084286472), V(-0.20819395464), V(-0.421064), V(-0.32733845535848671), }}, {{ V(1.3 * 8611.3238710010046), V(-0.3041958212306401), V(-0.3633036457487539), V(-0.35660379990111464), V(-0.3443074455424403), V(-0.33699592683512467), V(-0.30180866526242109), V(-0.27321683125358037), }}, {{ V(1.3 * 4492.2486445538634), V(-1.2), V(-1.2), V(-0.8), V(-0.7), V(-0.7), V(-0.4), V(-0.5), }}}}, 8)); } // DCT256X256 static QuantEncodingInternal DCT256X256() { return QuantEncodingInternal::DCT( DctQuantWeightParams({{{{ V(3.6 * 26629.073922049845), V(-1.025), V(-0.78), V(-0.65012), V(-0.19041574084286472), V(-0.20819395464), V(-0.421064), V(-0.32733845535848671), }}, {{ V(3.6 * 9311.3238710010046), V(-0.3041958212306401), V(-0.3633036457487539), V(-0.35660379990111464), V(-0.3443074455424403), V(-0.33699592683512467), V(-0.30180866526242109), V(-0.27321683125358037), }}, {{ V(3.6 * 4992.2486445538634), V(-1.2), V(-1.2), V(-0.8), V(-0.7), V(-0.7), V(-0.4), V(-0.5), }}}}, 8)); } // DCT256X128 static QuantEncodingInternal DCT128X256() { return QuantEncodingInternal::DCT( DctQuantWeightParams({{{{ V(2.6 * 23629.073922049845), V(-1.025), V(-0.78), V(-0.65012), V(-0.19041574084286472), V(-0.20819395464), V(-0.421064), V(-0.32733845535848671), }}, {{ V(2.6 * 8611.3238710010046), V(-0.3041958212306401), V(-0.3633036457487539), V(-0.35660379990111464), V(-0.3443074455424403), V(-0.33699592683512467), V(-0.30180866526242109), V(-0.27321683125358037), }}, {{ V(2.6 * 4492.2486445538634), V(-1.2), V(-1.2), V(-0.8), V(-0.7), V(-0.7), V(-0.4), V(-0.5), }}}}, 8)); } }; } // namespace DequantMatrices::DequantLibraryInternal DequantMatrices::LibraryInit() { static_assert(kNum == 17, "Update this function when adding new quantization kinds."); static_assert(kNumPredefinedTables == 1, "Update this function when adding new quantization matrices to " "the library."); // The library and the indices need to be kept in sync manually. static_assert(0 == DCT, "Update the DequantLibrary array below."); static_assert(1 == IDENTITY, "Update the DequantLibrary array below."); static_assert(2 == DCT2X2, "Update the DequantLibrary array below."); static_assert(3 == DCT4X4, "Update the DequantLibrary array below."); static_assert(4 == DCT16X16, "Update the DequantLibrary array below."); static_assert(5 == DCT32X32, "Update the DequantLibrary array below."); static_assert(6 == DCT8X16, "Update the DequantLibrary array below."); static_assert(7 == DCT8X32, "Update the DequantLibrary array below."); static_assert(8 == DCT16X32, "Update the DequantLibrary array below."); static_assert(9 == DCT4X8, "Update the DequantLibrary array below."); static_assert(10 == AFV0, "Update the DequantLibrary array below."); static_assert(11 == DCT64X64, "Update the DequantLibrary array below."); static_assert(12 == DCT32X64, "Update the DequantLibrary array below."); static_assert(13 == DCT128X128, "Update the DequantLibrary array below."); static_assert(14 == DCT64X128, "Update the DequantLibrary array below."); static_assert(15 == DCT256X256, "Update the DequantLibrary array below."); static_assert(16 == DCT128X256, "Update the DequantLibrary array below."); return DequantMatrices::DequantLibraryInternal{{ DequantMatricesLibraryDef::DCT(), DequantMatricesLibraryDef::IDENTITY(), DequantMatricesLibraryDef::DCT2X2(), DequantMatricesLibraryDef::DCT4X4(), DequantMatricesLibraryDef::DCT16X16(), DequantMatricesLibraryDef::DCT32X32(), DequantMatricesLibraryDef::DCT8X16(), DequantMatricesLibraryDef::DCT8X32(), DequantMatricesLibraryDef::DCT16X32(), DequantMatricesLibraryDef::DCT4X8(), DequantMatricesLibraryDef::AFV0(), DequantMatricesLibraryDef::DCT64X64(), DequantMatricesLibraryDef::DCT32X64(), // Same default for large transforms (128+) as for 64x* transforms. DequantMatricesLibraryDef::DCT128X128(), DequantMatricesLibraryDef::DCT64X128(), DequantMatricesLibraryDef::DCT256X256(), DequantMatricesLibraryDef::DCT128X256(), }}; } const QuantEncoding* DequantMatrices::Library() { static const DequantMatrices::DequantLibraryInternal kDequantLibrary = DequantMatrices::LibraryInit(); // Downcast the result to a const QuantEncoding* from QuantEncodingInternal* // since the subclass (QuantEncoding) doesn't add any new members and users // will need to upcast to QuantEncodingInternal to access the members of that // class. This allows to have kDequantLibrary as a constexpr value while still // allowing to create QuantEncoding::RAW() instances that use std::vector in // C++11. return reinterpret_cast(kDequantLibrary.data()); } DequantMatrices::DequantMatrices() { encodings_.resize(size_t(QuantTable::kNum), QuantEncoding::Library(0)); size_t pos = 0; size_t offsets[kNum * 3]; for (size_t i = 0; i < size_t(QuantTable::kNum); i++) { size_t num = required_size_[i] * kDCTBlockSize; for (size_t c = 0; c < 3; c++) { offsets[3 * i + c] = pos + c * num; } pos += 3 * num; } for (size_t i = 0; i < AcStrategy::kNumValidStrategies; i++) { for (size_t c = 0; c < 3; c++) { table_offsets_[i * 3 + c] = offsets[kQuantTable[i] * 3 + c]; } } } Status DequantMatrices::EnsureComputed(uint32_t acs_mask) { const QuantEncoding* library = Library(); if (!table_storage_) { table_storage_ = hwy::AllocateAligned(2 * kTotalTableSize); table_ = table_storage_.get(); inv_table_ = table_storage_.get() + kTotalTableSize; } size_t offsets[kNum * 3 + 1]; size_t pos = 0; for (size_t i = 0; i < kNum; i++) { size_t num = required_size_[i] * kDCTBlockSize; for (size_t c = 0; c < 3; c++) { offsets[3 * i + c] = pos + c * num; } pos += 3 * num; } offsets[kNum * 3] = pos; JXL_ASSERT(pos == kTotalTableSize); uint32_t kind_mask = 0; for (size_t i = 0; i < AcStrategy::kNumValidStrategies; i++) { if (acs_mask & (1u << i)) { kind_mask |= 1u << kQuantTable[i]; } } uint32_t computed_kind_mask = 0; for (size_t i = 0; i < AcStrategy::kNumValidStrategies; i++) { if (computed_mask_ & (1u << i)) { computed_kind_mask |= 1u << kQuantTable[i]; } } for (size_t table = 0; table < kNum; table++) { if ((1 << table) & computed_kind_mask) continue; if ((1 << table) & ~kind_mask) continue; size_t pos = offsets[table * 3]; if (encodings_[table].mode == QuantEncoding::kQuantModeLibrary) { JXL_CHECK(HWY_DYNAMIC_DISPATCH(ComputeQuantTable)( library[table], table_storage_.get(), table_storage_.get() + kTotalTableSize, table, QuantTable(table), &pos)); } else { JXL_RETURN_IF_ERROR(HWY_DYNAMIC_DISPATCH(ComputeQuantTable)( encodings_[table], table_storage_.get(), table_storage_.get() + kTotalTableSize, table, QuantTable(table), &pos)); } JXL_ASSERT(pos == offsets[table * 3 + 3]); } computed_mask_ |= acs_mask; return true; } } // namespace jxl #endif