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diff --git a/third_party/jpeg-xl/lib/jpegli/render.cc b/third_party/jpeg-xl/lib/jpegli/render.cc
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+++ b/third_party/jpeg-xl/lib/jpegli/render.cc
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+// 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/jpegli/render.h"
+
+#include <string.h>
+
+#include <array>
+#include <atomic>
+#include <cmath>
+#include <cstddef>
+#include <cstdint>
+#include <hwy/aligned_allocator.h>
+
+#include "lib/jpegli/color_quantize.h"
+#include "lib/jpegli/color_transform.h"
+#include "lib/jpegli/decode_internal.h"
+#include "lib/jpegli/error.h"
+#include "lib/jpegli/idct.h"
+#include "lib/jpegli/upsample.h"
+#include "lib/jxl/base/byte_order.h"
+#include "lib/jxl/base/compiler_specific.h"
+#include "lib/jxl/base/status.h"
+
+#ifdef MEMORY_SANITIZER
+#define JXL_MEMORY_SANITIZER 1
+#elif defined(__has_feature)
+#if __has_feature(memory_sanitizer)
+#define JXL_MEMORY_SANITIZER 1
+#else
+#define JXL_MEMORY_SANITIZER 0
+#endif
+#else
+#define JXL_MEMORY_SANITIZER 0
+#endif
+
+#if JXL_MEMORY_SANITIZER
+#include "sanitizer/msan_interface.h"
+#endif
+
+#undef HWY_TARGET_INCLUDE
+#define HWY_TARGET_INCLUDE "lib/jpegli/render.cc"
+#include <hwy/foreach_target.h>
+#include <hwy/highway.h>
+
+HWY_BEFORE_NAMESPACE();
+namespace jpegli {
+namespace HWY_NAMESPACE {
+
+// These templates are not found via ADL.
+using hwy::HWY_NAMESPACE::Abs;
+using hwy::HWY_NAMESPACE::Add;
+using hwy::HWY_NAMESPACE::Clamp;
+using hwy::HWY_NAMESPACE::Gt;
+using hwy::HWY_NAMESPACE::IfThenElseZero;
+using hwy::HWY_NAMESPACE::Mul;
+using hwy::HWY_NAMESPACE::NearestInt;
+using hwy::HWY_NAMESPACE::Or;
+using hwy::HWY_NAMESPACE::Rebind;
+using hwy::HWY_NAMESPACE::ShiftLeftSame;
+using hwy::HWY_NAMESPACE::ShiftRightSame;
+using hwy::HWY_NAMESPACE::Vec;
+using D = HWY_FULL(float);
+using DI = HWY_FULL(int32_t);
+constexpr D d;
+constexpr DI di;
+
+void GatherBlockStats(const int16_t* JXL_RESTRICT coeffs,
+ const size_t coeffs_size, int32_t* JXL_RESTRICT nonzeros,
+ int32_t* JXL_RESTRICT sumabs) {
+ for (size_t i = 0; i < coeffs_size; i += Lanes(d)) {
+ size_t k = i % DCTSIZE2;
+ const Rebind<int16_t, DI> di16;
+ const Vec<DI> coeff = PromoteTo(di, Load(di16, coeffs + i));
+ const auto abs_coeff = Abs(coeff);
+ const auto not_0 = Gt(abs_coeff, Zero(di));
+ const auto nzero = IfThenElseZero(not_0, Set(di, 1));
+ Store(Add(nzero, Load(di, nonzeros + k)), di, nonzeros + k);
+ Store(Add(abs_coeff, Load(di, sumabs + k)), di, sumabs + k);
+ }
+}
+
+void DecenterRow(float* row, size_t xsize) {
+ const HWY_CAPPED(float, 8) df;
+ const auto c128 = Set(df, 128.0f / 255);
+ for (size_t x = 0; x < xsize; x += Lanes(df)) {
+ Store(Add(Load(df, row + x), c128), df, row + x);
+ }
+}
+
+void DitherRow(j_decompress_ptr cinfo, float* row, int c, size_t y,
+ size_t xsize) {
+ jpeg_decomp_master* m = cinfo->master;
+ if (!m->dither_[c]) return;
+ const float* dither_row =
+ &m->dither_[c][(y & m->dither_mask_) * m->dither_size_];
+ for (size_t x = 0; x < xsize; ++x) {
+ row[x] += dither_row[x & m->dither_mask_];
+ }
+}
+
+template <typename T>
+void StoreUnsignedRow(float* JXL_RESTRICT input[], size_t x0, size_t len,
+ size_t num_channels, float multiplier, T* output) {
+ const HWY_CAPPED(float, 8) d;
+ auto zero = Zero(d);
+ auto mul = Set(d, multiplier);
+ const Rebind<T, decltype(d)> du;
+#if JXL_MEMORY_SANITIZER
+ const size_t padding = hwy::RoundUpTo(len, Lanes(d)) - len;
+ for (size_t c = 0; c < num_channels; ++c) {
+ __msan_unpoison(input[c] + x0 + len, sizeof(input[c][0]) * padding);
+ }
+#endif
+ if (num_channels == 1) {
+ for (size_t i = 0; i < len; i += Lanes(d)) {
+ auto v0 = Clamp(zero, Mul(LoadU(d, &input[0][x0 + i]), mul), mul);
+ StoreU(DemoteTo(du, NearestInt(v0)), du, &output[i]);
+ }
+ } else if (num_channels == 2) {
+ for (size_t i = 0; i < len; i += Lanes(d)) {
+ auto v0 = Clamp(zero, Mul(LoadU(d, &input[0][x0 + i]), mul), mul);
+ auto v1 = Clamp(zero, Mul(LoadU(d, &input[1][x0 + i]), mul), mul);
+ StoreInterleaved2(DemoteTo(du, NearestInt(v0)),
+ DemoteTo(du, NearestInt(v1)), du, &output[2 * i]);
+ }
+ } else if (num_channels == 3) {
+ for (size_t i = 0; i < len; i += Lanes(d)) {
+ auto v0 = Clamp(zero, Mul(LoadU(d, &input[0][x0 + i]), mul), mul);
+ auto v1 = Clamp(zero, Mul(LoadU(d, &input[1][x0 + i]), mul), mul);
+ auto v2 = Clamp(zero, Mul(LoadU(d, &input[2][x0 + i]), mul), mul);
+ StoreInterleaved3(DemoteTo(du, NearestInt(v0)),
+ DemoteTo(du, NearestInt(v1)),
+ DemoteTo(du, NearestInt(v2)), du, &output[3 * i]);
+ }
+ } else if (num_channels == 4) {
+ for (size_t i = 0; i < len; i += Lanes(d)) {
+ auto v0 = Clamp(zero, Mul(LoadU(d, &input[0][x0 + i]), mul), mul);
+ auto v1 = Clamp(zero, Mul(LoadU(d, &input[1][x0 + i]), mul), mul);
+ auto v2 = Clamp(zero, Mul(LoadU(d, &input[2][x0 + i]), mul), mul);
+ auto v3 = Clamp(zero, Mul(LoadU(d, &input[3][x0 + i]), mul), mul);
+ StoreInterleaved4(DemoteTo(du, NearestInt(v0)),
+ DemoteTo(du, NearestInt(v1)),
+ DemoteTo(du, NearestInt(v2)),
+ DemoteTo(du, NearestInt(v3)), du, &output[4 * i]);
+ }
+ }
+#if JXL_MEMORY_SANITIZER
+ __msan_poison(output + num_channels * len,
+ sizeof(output[0]) * num_channels * padding);
+#endif
+}
+
+void StoreFloatRow(float* JXL_RESTRICT input[3], size_t x0, size_t len,
+ size_t num_channels, float* output) {
+ const HWY_CAPPED(float, 8) d;
+ if (num_channels == 1) {
+ memcpy(output, input[0] + x0, len * sizeof(output[0]));
+ } else if (num_channels == 2) {
+ for (size_t i = 0; i < len; i += Lanes(d)) {
+ StoreInterleaved2(LoadU(d, &input[0][x0 + i]),
+ LoadU(d, &input[1][x0 + i]), d, &output[2 * i]);
+ }
+ } else if (num_channels == 3) {
+ for (size_t i = 0; i < len; i += Lanes(d)) {
+ StoreInterleaved3(LoadU(d, &input[0][x0 + i]),
+ LoadU(d, &input[1][x0 + i]),
+ LoadU(d, &input[2][x0 + i]), d, &output[3 * i]);
+ }
+ } else if (num_channels == 4) {
+ for (size_t i = 0; i < len; i += Lanes(d)) {
+ StoreInterleaved4(LoadU(d, &input[0][x0 + i]),
+ LoadU(d, &input[1][x0 + i]),
+ LoadU(d, &input[2][x0 + i]),
+ LoadU(d, &input[3][x0 + i]), d, &output[4 * i]);
+ }
+ }
+}
+
+static constexpr float kFSWeightMR = 7.0f / 16.0f;
+static constexpr float kFSWeightBL = 3.0f / 16.0f;
+static constexpr float kFSWeightBM = 5.0f / 16.0f;
+static constexpr float kFSWeightBR = 1.0f / 16.0f;
+
+float LimitError(float error) {
+ float abserror = std::abs(error);
+ if (abserror > 48.0f) {
+ abserror = 32.0f;
+ } else if (abserror > 16.0f) {
+ abserror = 0.5f * abserror + 8.0f;
+ }
+ return error > 0.0f ? abserror : -abserror;
+}
+
+void WriteToOutput(j_decompress_ptr cinfo, float* JXL_RESTRICT rows[],
+ size_t xoffset, size_t len, size_t num_channels,
+ uint8_t* JXL_RESTRICT output) {
+ jpeg_decomp_master* m = cinfo->master;
+ uint8_t* JXL_RESTRICT scratch_space = m->output_scratch_;
+ if (cinfo->quantize_colors && m->quant_pass_ == 1) {
+ float* error_row[kMaxComponents];
+ float* next_error_row[kMaxComponents];
+ if (cinfo->dither_mode == JDITHER_ORDERED) {
+ for (size_t c = 0; c < num_channels; ++c) {
+ DitherRow(cinfo, &rows[c][xoffset], c, cinfo->output_scanline,
+ cinfo->output_width);
+ }
+ } else if (cinfo->dither_mode == JDITHER_FS) {
+ for (size_t c = 0; c < num_channels; ++c) {
+ if (cinfo->output_scanline % 2 == 0) {
+ error_row[c] = m->error_row_[c];
+ next_error_row[c] = m->error_row_[c + kMaxComponents];
+ } else {
+ error_row[c] = m->error_row_[c + kMaxComponents];
+ next_error_row[c] = m->error_row_[c];
+ }
+ memset(next_error_row[c], 0.0, cinfo->output_width * sizeof(float));
+ }
+ }
+ const float mul = 255.0f;
+ if (cinfo->dither_mode != JDITHER_FS) {
+ StoreUnsignedRow(rows, xoffset, len, num_channels, mul, scratch_space);
+ }
+ for (size_t i = 0; i < len; ++i) {
+ uint8_t* pixel = &scratch_space[num_channels * i];
+ if (cinfo->dither_mode == JDITHER_FS) {
+ for (size_t c = 0; c < num_channels; ++c) {
+ float val = rows[c][i] * mul + LimitError(error_row[c][i]);
+ pixel[c] = std::round(std::min(255.0f, std::max(0.0f, val)));
+ }
+ }
+ int index = LookupColorIndex(cinfo, pixel);
+ output[i] = index;
+ if (cinfo->dither_mode == JDITHER_FS) {
+ size_t prev_i = i > 0 ? i - 1 : 0;
+ size_t next_i = i + 1 < len ? i + 1 : len - 1;
+ for (size_t c = 0; c < num_channels; ++c) {
+ float error = pixel[c] - cinfo->colormap[c][index];
+ error_row[c][next_i] += kFSWeightMR * error;
+ next_error_row[c][prev_i] += kFSWeightBL * error;
+ next_error_row[c][i] += kFSWeightBM * error;
+ next_error_row[c][next_i] += kFSWeightBR * error;
+ }
+ }
+ }
+ } else if (m->output_data_type_ == JPEGLI_TYPE_UINT8) {
+ const float mul = 255.0;
+ StoreUnsignedRow(rows, xoffset, len, num_channels, mul, scratch_space);
+ memcpy(output, scratch_space, len * num_channels);
+ } else if (m->output_data_type_ == JPEGLI_TYPE_UINT16) {
+ const float mul = 65535.0;
+ uint16_t* tmp = reinterpret_cast<uint16_t*>(scratch_space);
+ StoreUnsignedRow(rows, xoffset, len, num_channels, mul, tmp);
+ if (m->swap_endianness_) {
+ const HWY_CAPPED(uint16_t, 8) du;
+ size_t output_len = len * num_channels;
+ for (size_t j = 0; j < output_len; j += Lanes(du)) {
+ auto v = LoadU(du, tmp + j);
+ auto vswap = Or(ShiftRightSame(v, 8), ShiftLeftSame(v, 8));
+ StoreU(vswap, du, tmp + j);
+ }
+ }
+ memcpy(output, tmp, len * num_channels * 2);
+ } else if (m->output_data_type_ == JPEGLI_TYPE_FLOAT) {
+ float* tmp = reinterpret_cast<float*>(scratch_space);
+ StoreFloatRow(rows, xoffset, len, num_channels, tmp);
+ if (m->swap_endianness_) {
+ size_t output_len = len * num_channels;
+ for (size_t j = 0; j < output_len; ++j) {
+ tmp[j] = BSwapFloat(tmp[j]);
+ }
+ }
+ memcpy(output, tmp, len * num_channels * 4);
+ }
+}
+
+// NOLINTNEXTLINE(google-readability-namespace-comments)
+} // namespace HWY_NAMESPACE
+} // namespace jpegli
+HWY_AFTER_NAMESPACE();
+
+#if HWY_ONCE
+
+namespace jpegli {
+
+HWY_EXPORT(GatherBlockStats);
+HWY_EXPORT(WriteToOutput);
+HWY_EXPORT(DecenterRow);
+
+void GatherBlockStats(const int16_t* JXL_RESTRICT coeffs,
+ const size_t coeffs_size, int32_t* JXL_RESTRICT nonzeros,
+ int32_t* JXL_RESTRICT sumabs) {
+ return HWY_DYNAMIC_DISPATCH(GatherBlockStats)(coeffs, coeffs_size, nonzeros,
+ sumabs);
+}
+
+void WriteToOutput(j_decompress_ptr cinfo, float* JXL_RESTRICT rows[],
+ size_t xoffset, size_t len, size_t num_channels,
+ uint8_t* JXL_RESTRICT output) {
+ return HWY_DYNAMIC_DISPATCH(WriteToOutput)(cinfo, rows, xoffset, len,
+ num_channels, output);
+}
+
+void DecenterRow(float* row, size_t xsize) {
+ return HWY_DYNAMIC_DISPATCH(DecenterRow)(row, xsize);
+}
+
+// Padding for horizontal chroma upsampling.
+constexpr size_t kPaddingLeft = 64;
+constexpr size_t kPaddingRight = 64;
+
+bool ShouldApplyDequantBiases(j_decompress_ptr cinfo, int ci) {
+ const auto& compinfo = cinfo->comp_info[ci];
+ return (compinfo.h_samp_factor == cinfo->max_h_samp_factor &&
+ compinfo.v_samp_factor == cinfo->max_v_samp_factor);
+}
+
+// See the following article for the details:
+// J. R. Price and M. Rabbani, "Dequantization bias for JPEG decompression"
+// Proceedings International Conference on Information Technology: Coding and
+// Computing (Cat. No.PR00540), 2000, pp. 30-35, doi: 10.1109/ITCC.2000.844179.
+void ComputeOptimalLaplacianBiases(const int num_blocks, const int* nonzeros,
+ const int* sumabs, float* biases) {
+ for (size_t k = 1; k < DCTSIZE2; ++k) {
+ if (nonzeros[k] == 0) {
+ biases[k] = 0.5f;
+ continue;
+ }
+ // Notation adapted from the article
+ float N = num_blocks;
+ float N1 = nonzeros[k];
+ float N0 = num_blocks - N1;
+ float S = sumabs[k];
+ // Compute gamma from N0, N1, N, S (eq. 11), with A and B being just
+ // temporary grouping of terms.
+ float A = 4.0 * S + 2.0 * N;
+ float B = 4.0 * S - 2.0 * N1;
+ float gamma = (-1.0 * N0 + std::sqrt(N0 * N0 * 1.0 + A * B)) / A;
+ float gamma2 = gamma * gamma;
+ // The bias is computed from gamma with (eq. 5), where the quantization
+ // multiplier Q can be factored out and thus the bias can be applied
+ // directly on the quantized coefficient.
+ biases[k] =
+ 0.5 * (((1.0 + gamma2) / (1.0 - gamma2)) + 1.0 / std::log(gamma));
+ }
+}
+
+constexpr std::array<int, SAVED_COEFS> Q_POS = {0, 1, 8, 16, 9,
+ 2, 3, 10, 17, 24};
+
+bool is_nonzero_quantizers(const JQUANT_TBL* qtable) {
+ return std::all_of(Q_POS.begin(), Q_POS.end(),
+ [&](int pos) { return qtable->quantval[pos] != 0; });
+}
+
+// Determine whether smoothing should be applied during decompression
+bool do_smoothing(j_decompress_ptr cinfo) {
+ jpeg_decomp_master* m = cinfo->master;
+ bool smoothing_useful = false;
+
+ if (!cinfo->progressive_mode || cinfo->coef_bits == nullptr) {
+ return false;
+ }
+ auto coef_bits_latch = m->coef_bits_latch;
+ auto prev_coef_bits_latch = m->prev_coef_bits_latch;
+
+ for (int ci = 0; ci < cinfo->num_components; ci++) {
+ jpeg_component_info* compptr = &cinfo->comp_info[ci];
+ JQUANT_TBL* qtable = compptr->quant_table;
+ int* coef_bits = cinfo->coef_bits[ci];
+ int* prev_coef_bits = cinfo->coef_bits[ci + cinfo->num_components];
+
+ // Return early if conditions for smoothing are not met
+ if (qtable == nullptr || !is_nonzero_quantizers(qtable) ||
+ coef_bits[0] < 0) {
+ return false;
+ }
+
+ coef_bits_latch[ci][0] = coef_bits[0];
+
+ for (int coefi = 1; coefi < SAVED_COEFS; coefi++) {
+ prev_coef_bits_latch[ci][coefi] =
+ cinfo->input_scan_number > 1 ? prev_coef_bits[coefi] : -1;
+ if (coef_bits[coefi] != 0) {
+ smoothing_useful = true;
+ }
+ coef_bits_latch[ci][coefi] = coef_bits[coefi];
+ }
+ }
+
+ return smoothing_useful;
+}
+
+void PredictSmooth(j_decompress_ptr cinfo, JBLOCKARRAY blocks, int component,
+ size_t bx, int iy) {
+ const size_t imcu_row = cinfo->output_iMCU_row;
+ int16_t* scratch = cinfo->master->smoothing_scratch_;
+ std::vector<int> Q_VAL(SAVED_COEFS);
+ int* coef_bits;
+
+ std::array<std::array<int, 5>, 5> dc_values;
+ auto& compinfo = cinfo->comp_info[component];
+ const size_t by0 = imcu_row * compinfo.v_samp_factor;
+ const size_t by = by0 + iy;
+
+ int prev_iy = by > 0 ? iy - 1 : 0;
+ int prev_prev_iy = by > 1 ? iy - 2 : prev_iy;
+ int next_iy = by + 1 < compinfo.height_in_blocks ? iy + 1 : iy;
+ int next_next_iy = by + 2 < compinfo.height_in_blocks ? iy + 2 : next_iy;
+
+ const int16_t* cur_row = blocks[iy][bx];
+ const int16_t* prev_row = blocks[prev_iy][bx];
+ const int16_t* prev_prev_row = blocks[prev_prev_iy][bx];
+ const int16_t* next_row = blocks[next_iy][bx];
+ const int16_t* next_next_row = blocks[next_next_iy][bx];
+
+ int prev_block_ind = bx ? -DCTSIZE2 : 0;
+ int prev_prev_block_ind = bx > 1 ? -2 * DCTSIZE2 : prev_block_ind;
+ int next_block_ind = bx + 1 < compinfo.width_in_blocks ? DCTSIZE2 : 0;
+ int next_next_block_ind =
+ bx + 2 < compinfo.width_in_blocks ? DCTSIZE2 * 2 : next_block_ind;
+
+ std::array<const int16_t*, 5> row_ptrs = {prev_prev_row, prev_row, cur_row,
+ next_row, next_next_row};
+ std::array<int, 5> block_inds = {prev_prev_block_ind, prev_block_ind, 0,
+ next_block_ind, next_next_block_ind};
+
+ memcpy(scratch, cur_row, DCTSIZE2 * sizeof(cur_row[0]));
+
+ for (int r = 0; r < 5; ++r) {
+ for (int c = 0; c < 5; ++c) {
+ dc_values[r][c] = row_ptrs[r][block_inds[c]];
+ }
+ }
+ // Get the correct coef_bits: In case of an incomplete scan, we use the
+ // prev coeficients.
+ if (cinfo->output_iMCU_row + 1 > cinfo->input_iMCU_row) {
+ coef_bits = cinfo->master->prev_coef_bits_latch[component];
+ } else {
+ coef_bits = cinfo->master->coef_bits_latch[component];
+ }
+
+ bool change_dc = true;
+ for (int i = 1; i < SAVED_COEFS; i++) {
+ if (coef_bits[i] != -1) {
+ change_dc = false;
+ break;
+ }
+ }
+
+ JQUANT_TBL* quanttbl = cinfo->quant_tbl_ptrs[compinfo.quant_tbl_no];
+ for (size_t i = 0; i < 6; ++i) {
+ Q_VAL[i] = quanttbl->quantval[Q_POS[i]];
+ }
+ if (change_dc) {
+ for (size_t i = 6; i < SAVED_COEFS; ++i) {
+ Q_VAL[i] = quanttbl->quantval[Q_POS[i]];
+ }
+ }
+ auto calculate_dct_value = [&](int coef_index) {
+ int64_t num = 0;
+ int pred;
+ int Al;
+ // we use the symmetry of the smoothing matrices by transposing the 5x5 dc
+ // matrix in that case.
+ bool swap_indices = coef_index == 2 || coef_index == 5 || coef_index == 8 ||
+ coef_index == 9;
+ auto dc = [&](int i, int j) {
+ return swap_indices ? dc_values[j][i] : dc_values[i][j];
+ };
+ Al = coef_bits[coef_index];
+ switch (coef_index) {
+ case 0:
+ // set the DC
+ num = (-2 * dc(0, 0) - 6 * dc(0, 1) - 8 * dc(0, 2) - 6 * dc(0, 3) -
+ 2 * dc(0, 4) - 6 * dc(1, 0) + 6 * dc(1, 1) + 42 * dc(1, 2) +
+ 6 * dc(1, 3) - 6 * dc(1, 4) - 8 * dc(2, 0) + 42 * dc(2, 1) +
+ 152 * dc(2, 2) + 42 * dc(2, 3) - 8 * dc(2, 4) - 6 * dc(3, 0) +
+ 6 * dc(3, 1) + 42 * dc(3, 2) + 6 * dc(3, 3) - 6 * dc(3, 4) -
+ 2 * dc(4, 0) - 6 * dc(4, 1) - 8 * dc(4, 2) - 6 * dc(4, 3) -
+ 2 * dc(4, 4));
+ // special case: for the DC the dequantization is different
+ Al = 0;
+ break;
+ case 1:
+ case 2:
+ // set Q01 or Q10
+ num = (change_dc ? (-dc(0, 0) - dc(0, 1) + dc(0, 3) + dc(0, 4) -
+ 3 * dc(1, 0) + 13 * dc(1, 1) - 13 * dc(1, 3) +
+ 3 * dc(1, 4) - 3 * dc(2, 0) + 38 * dc(2, 1) -
+ 38 * dc(2, 3) + 3 * dc(2, 4) - 3 * dc(3, 0) +
+ 13 * dc(3, 1) - 13 * dc(3, 3) + 3 * dc(3, 4) -
+ dc(4, 0) - dc(4, 1) + dc(4, 3) + dc(4, 4))
+ : (-7 * dc(2, 0) + 50 * dc(2, 1) - 50 * dc(2, 3) +
+ 7 * dc(2, 4)));
+ break;
+ case 3:
+ case 5:
+ // set Q02 or Q20
+ num = (change_dc
+ ? dc(0, 2) + 2 * dc(1, 1) + 7 * dc(1, 2) + 2 * dc(1, 3) -
+ 5 * dc(2, 1) - 14 * dc(2, 2) - 5 * dc(2, 3) +
+ 2 * dc(3, 1) + 7 * dc(3, 2) + 2 * dc(3, 3) + dc(4, 2)
+ : (-dc(0, 2) + 13 * dc(1, 2) - 24 * dc(2, 2) +
+ 13 * dc(3, 2) - dc(4, 2)));
+ break;
+ case 4:
+ // set Q11
+ num =
+ (change_dc ? -dc(0, 0) + dc(0, 4) + 9 * dc(1, 1) - 9 * dc(1, 3) -
+ 9 * dc(3, 1) + 9 * dc(3, 3) + dc(4, 0) - dc(4, 4)
+ : (dc(1, 4) + dc(3, 0) - 10 * dc(3, 1) + 10 * dc(3, 3) -
+ dc(0, 1) - dc(3, 4) + dc(4, 1) - dc(4, 3) + dc(0, 3) -
+ dc(1, 0) + 10 * dc(1, 1) - 10 * dc(1, 3)));
+ break;
+ case 6:
+ case 9:
+ // set Q03 or Q30
+ num = (dc(1, 1) - dc(1, 3) + 2 * dc(2, 1) - 2 * dc(2, 3) + dc(3, 1) -
+ dc(3, 3));
+ break;
+ case 7:
+ case 8:
+ // set Q12 and Q21
+ num = (dc(1, 1) - 3 * dc(1, 2) + dc(1, 3) - dc(3, 1) + 3 * dc(3, 2) -
+ dc(3, 3));
+ break;
+ }
+ num = Q_VAL[0] * num;
+ if (num >= 0) {
+ pred = ((Q_VAL[coef_index] << 7) + num) / (Q_VAL[coef_index] << 8);
+ if (Al > 0 && pred >= (1 << Al)) pred = (1 << Al) - 1;
+ } else {
+ pred = ((Q_VAL[coef_index] << 7) - num) / (Q_VAL[coef_index] << 8);
+ if (Al > 0 && pred >= (1 << Al)) pred = (1 << Al) - 1;
+ pred = -pred;
+ }
+ return static_cast<int16_t>(pred);
+ };
+
+ int loop_end = change_dc ? SAVED_COEFS : 6;
+ for (int i = 1; i < loop_end; ++i) {
+ if (coef_bits[i] != 0 && scratch[Q_POS[i]] == 0) {
+ scratch[Q_POS[i]] = calculate_dct_value(i);
+ }
+ }
+ if (change_dc) {
+ scratch[0] = calculate_dct_value(0);
+ }
+}
+
+void PrepareForOutput(j_decompress_ptr cinfo) {
+ jpeg_decomp_master* m = cinfo->master;
+ size_t iMCU_width = cinfo->max_h_samp_factor * m->min_scaled_dct_size;
+ size_t output_stride = m->iMCU_cols_ * iMCU_width;
+ for (int c = 0; c < cinfo->num_components; ++c) {
+ const auto& comp = cinfo->comp_info[c];
+ size_t cheight = comp.v_samp_factor * m->scaled_dct_size[c];
+ m->raw_height_[c] = cinfo->total_iMCU_rows * cheight;
+ m->raw_output_[c].Allocate(cinfo, 3 * cheight, output_stride);
+ }
+ int num_all_components =
+ std::max(cinfo->out_color_components, cinfo->num_components);
+ for (int c = 0; c < num_all_components; ++c) {
+ m->render_output_[c].Allocate(cinfo, cinfo->max_v_samp_factor,
+ output_stride);
+ }
+ m->idct_scratch_ = Allocate<float>(cinfo, 5 * DCTSIZE2, JPOOL_IMAGE_ALIGNED);
+ m->upsample_scratch_ = Allocate<float>(
+ cinfo, output_stride + kPaddingLeft + kPaddingRight, JPOOL_IMAGE_ALIGNED);
+ size_t bytes_per_sample = jpegli_bytes_per_sample(m->output_data_type_);
+ size_t bytes_per_pixel = cinfo->out_color_components * bytes_per_sample;
+ size_t scratch_stride = RoundUpTo(output_stride, HWY_ALIGNMENT);
+ m->output_scratch_ = Allocate<uint8_t>(
+ cinfo, bytes_per_pixel * scratch_stride, JPOOL_IMAGE_ALIGNED);
+ m->smoothing_scratch_ =
+ Allocate<int16_t>(cinfo, DCTSIZE2, JPOOL_IMAGE_ALIGNED);
+ bool smoothing = do_smoothing(cinfo);
+ m->apply_smoothing = smoothing && cinfo->do_block_smoothing;
+ size_t coeffs_per_block = cinfo->num_components * DCTSIZE2;
+ m->nonzeros_ = Allocate<int>(cinfo, coeffs_per_block, JPOOL_IMAGE_ALIGNED);
+ m->sumabs_ = Allocate<int>(cinfo, coeffs_per_block, JPOOL_IMAGE_ALIGNED);
+ memset(m->nonzeros_, 0, coeffs_per_block * sizeof(m->nonzeros_[0]));
+ memset(m->sumabs_, 0, coeffs_per_block * sizeof(m->sumabs_[0]));
+ memset(m->num_processed_blocks_, 0, sizeof(m->num_processed_blocks_));
+ m->biases_ = Allocate<float>(cinfo, coeffs_per_block, JPOOL_IMAGE_ALIGNED);
+ memset(m->biases_, 0, coeffs_per_block * sizeof(m->biases_[0]));
+ cinfo->output_iMCU_row = 0;
+ cinfo->output_scanline = 0;
+ const float kDequantScale = 1.0f / (8 * 255);
+ if (m->dequant_ == nullptr) {
+ m->dequant_ = Allocate<float>(cinfo, coeffs_per_block, JPOOL_IMAGE_ALIGNED);
+ memset(m->dequant_, 0, coeffs_per_block * sizeof(float));
+ }
+ for (int c = 0; c < cinfo->num_components; c++) {
+ const auto& comp = cinfo->comp_info[c];
+ JQUANT_TBL* table = comp.quant_table;
+ if (table == nullptr) continue;
+ for (size_t k = 0; k < DCTSIZE2; ++k) {
+ m->dequant_[c * DCTSIZE2 + k] = table->quantval[k] * kDequantScale;
+ }
+ }
+ ChooseInverseTransform(cinfo);
+ ChooseColorTransform(cinfo);
+}
+
+void DecodeCurrentiMCURow(j_decompress_ptr cinfo) {
+ jpeg_decomp_master* m = cinfo->master;
+ const size_t imcu_row = cinfo->output_iMCU_row;
+ JBLOCKARRAY ba[kMaxComponents];
+ for (int c = 0; c < cinfo->num_components; ++c) {
+ const jpeg_component_info* comp = &cinfo->comp_info[c];
+ int by0 = imcu_row * comp->v_samp_factor;
+ int block_rows_left = comp->height_in_blocks - by0;
+ int max_block_rows = std::min(comp->v_samp_factor, block_rows_left);
+ int offset = m->streaming_mode_ ? 0 : by0;
+ ba[c] = (*cinfo->mem->access_virt_barray)(
+ reinterpret_cast<j_common_ptr>(cinfo), m->coef_arrays[c], offset,
+ max_block_rows, false);
+ }
+ for (int c = 0; c < cinfo->num_components; ++c) {
+ size_t k0 = c * DCTSIZE2;
+ auto& compinfo = cinfo->comp_info[c];
+ size_t block_row = imcu_row * compinfo.v_samp_factor;
+ if (ShouldApplyDequantBiases(cinfo, c)) {
+ // Update statistics for this iMCU row.
+ for (int iy = 0; iy < compinfo.v_samp_factor; ++iy) {
+ size_t by = block_row + iy;
+ if (by >= compinfo.height_in_blocks) {
+ continue;
+ }
+ int16_t* JXL_RESTRICT coeffs = &ba[c][iy][0][0];
+ size_t num = compinfo.width_in_blocks * DCTSIZE2;
+ GatherBlockStats(coeffs, num, &m->nonzeros_[k0], &m->sumabs_[k0]);
+ m->num_processed_blocks_[c] += compinfo.width_in_blocks;
+ }
+ if (imcu_row % 4 == 3) {
+ // Re-compute optimal biases every few iMCU-rows.
+ ComputeOptimalLaplacianBiases(m->num_processed_blocks_[c],
+ &m->nonzeros_[k0], &m->sumabs_[k0],
+ &m->biases_[k0]);
+ }
+ }
+ RowBuffer<float>* raw_out = &m->raw_output_[c];
+ for (int iy = 0; iy < compinfo.v_samp_factor; ++iy) {
+ size_t by = block_row + iy;
+ if (by >= compinfo.height_in_blocks) {
+ continue;
+ }
+ size_t dctsize = m->scaled_dct_size[c];
+ int16_t* JXL_RESTRICT row_in = &ba[c][iy][0][0];
+ float* JXL_RESTRICT row_out = raw_out->Row(by * dctsize);
+ for (size_t bx = 0; bx < compinfo.width_in_blocks; ++bx) {
+ if (m->apply_smoothing) {
+ PredictSmooth(cinfo, ba[c], c, bx, iy);
+ (*m->inverse_transform[c])(m->smoothing_scratch_, &m->dequant_[k0],
+ &m->biases_[k0], m->idct_scratch_,
+ &row_out[bx * dctsize], raw_out->stride(),
+ dctsize);
+ } else {
+ (*m->inverse_transform[c])(&row_in[bx * DCTSIZE2], &m->dequant_[k0],
+ &m->biases_[k0], m->idct_scratch_,
+ &row_out[bx * dctsize], raw_out->stride(),
+ dctsize);
+ }
+ }
+ if (m->streaming_mode_) {
+ memset(row_in, 0, compinfo.width_in_blocks * sizeof(JBLOCK));
+ }
+ }
+ }
+}
+
+void ProcessRawOutput(j_decompress_ptr cinfo, JSAMPIMAGE data) {
+ jpegli::DecodeCurrentiMCURow(cinfo);
+ jpeg_decomp_master* m = cinfo->master;
+ for (int c = 0; c < cinfo->num_components; ++c) {
+ const auto& compinfo = cinfo->comp_info[c];
+ size_t comp_width = compinfo.width_in_blocks * DCTSIZE;
+ size_t comp_height = compinfo.height_in_blocks * DCTSIZE;
+ size_t comp_nrows = compinfo.v_samp_factor * DCTSIZE;
+ size_t y0 = cinfo->output_iMCU_row * compinfo.v_samp_factor * DCTSIZE;
+ size_t y1 = std::min(y0 + comp_nrows, comp_height);
+ for (size_t y = y0; y < y1; ++y) {
+ float* rows[1] = {m->raw_output_[c].Row(y)};
+ uint8_t* output = data[c][y - y0];
+ DecenterRow(rows[0], comp_width);
+ WriteToOutput(cinfo, rows, 0, comp_width, 1, output);
+ }
+ }
+ ++cinfo->output_iMCU_row;
+ cinfo->output_scanline += cinfo->max_v_samp_factor * DCTSIZE;
+ if (cinfo->output_scanline >= cinfo->output_height) {
+ ++m->output_passes_done_;
+ }
+}
+
+void ProcessOutput(j_decompress_ptr cinfo, size_t* num_output_rows,
+ JSAMPARRAY scanlines, size_t max_output_rows) {
+ jpeg_decomp_master* m = cinfo->master;
+ const int vfactor = cinfo->max_v_samp_factor;
+ const int hfactor = cinfo->max_h_samp_factor;
+ const size_t imcu_row = cinfo->output_iMCU_row;
+ const size_t imcu_height = vfactor * m->min_scaled_dct_size;
+ const size_t imcu_width = hfactor * m->min_scaled_dct_size;
+ const size_t output_width = m->iMCU_cols_ * imcu_width;
+ if (imcu_row == cinfo->total_iMCU_rows ||
+ (imcu_row > 1 && cinfo->output_scanline < (imcu_row - 1) * imcu_height)) {
+ // We are ready to output some scanlines.
+ size_t ybegin = cinfo->output_scanline;
+ size_t yend =
+ (imcu_row == cinfo->total_iMCU_rows ? cinfo->output_height
+ : (imcu_row - 1) * imcu_height);
+ yend = std::min<size_t>(yend, ybegin + max_output_rows - *num_output_rows);
+ size_t yb = (ybegin / vfactor) * vfactor;
+ size_t ye = DivCeil(yend, vfactor) * vfactor;
+ for (size_t y = yb; y < ye; y += vfactor) {
+ for (int c = 0; c < cinfo->num_components; ++c) {
+ RowBuffer<float>* raw_out = &m->raw_output_[c];
+ RowBuffer<float>* render_out = &m->render_output_[c];
+ int line_groups = vfactor / m->v_factor[c];
+ size_t yc = y / m->v_factor[c];
+ for (int dy = 0; dy < line_groups; ++dy) {
+ if (cinfo->do_fancy_upsampling && m->v_factor[c] == 2) {
+ size_t ymid = yc + dy;
+ const float* JXL_RESTRICT row_mid = raw_out->Row(ymid);
+ const float* JXL_RESTRICT row_top =
+ ymid == 0 ? row_mid : raw_out->Row(ymid - 1);
+ const float* JXL_RESTRICT row_bot = ymid + 1 == m->raw_height_[c]
+ ? row_mid
+ : raw_out->Row(ymid + 1);
+ Upsample2Vertical(row_top, row_mid, row_bot,
+ render_out->Row(2 * dy),
+ render_out->Row(2 * dy + 1), output_width);
+ } else {
+ for (int yix = 0; yix < m->v_factor[c]; ++yix) {
+ size_t ymid = yc + dy;
+ memcpy(render_out->Row(m->v_factor[c] * dy + yix),
+ raw_out->Row(ymid), raw_out->xsize() * sizeof(float));
+ }
+ }
+ }
+ }
+ for (int yix = 0; yix < vfactor; ++yix) {
+ if (y + yix < ybegin || y + yix >= yend) continue;
+ float* rows[kMaxComponents];
+ int num_all_components =
+ std::max(cinfo->out_color_components, cinfo->num_components);
+ for (int c = 0; c < num_all_components; ++c) {
+ rows[c] = m->render_output_[c].Row(yix);
+ }
+ (*m->color_transform)(rows, output_width);
+ for (int c = 0; c < cinfo->out_color_components; ++c) {
+ // Undo the centering of the sample values around zero.
+ DecenterRow(rows[c], output_width);
+ }
+ if (scanlines) {
+ uint8_t* output = scanlines[*num_output_rows];
+ WriteToOutput(cinfo, rows, m->xoffset_, cinfo->output_width,
+ cinfo->out_color_components, output);
+ }
+ JXL_ASSERT(cinfo->output_scanline == y + yix);
+ ++cinfo->output_scanline;
+ ++(*num_output_rows);
+ if (cinfo->output_scanline == cinfo->output_height) {
+ ++m->output_passes_done_;
+ }
+ }
+ }
+ } else {
+ DecodeCurrentiMCURow(cinfo);
+ for (int c = 0; c < cinfo->num_components; ++c) {
+ if (m->h_factor[c] == 1) continue;
+ const auto& compinfo = cinfo->comp_info[c];
+ RowBuffer<float>* raw_out = &m->raw_output_[c];
+ size_t cheight = compinfo.v_samp_factor * m->scaled_dct_size[c];
+ size_t y0 = imcu_row * cheight;
+ if (cinfo->do_fancy_upsampling && m->h_factor[c] == 2) {
+ for (size_t iy = 0; iy < cheight; ++iy) {
+ float* JXL_RESTRICT row = raw_out->Row(y0 + iy);
+ Upsample2Horizontal(row, m->upsample_scratch_, output_width);
+ }
+ } else {
+ for (size_t iy = 0; iy < cheight; ++iy) {
+ float* JXL_RESTRICT row = raw_out->Row(y0 + iy);
+ float* JXL_RESTRICT tmp = m->upsample_scratch_;
+ // TODO(szabadka) SIMDify this.
+ for (size_t x = 0; x < output_width; ++x) {
+ tmp[x] = row[x / m->h_factor[c]];
+ }
+ memcpy(row, tmp, output_width * sizeof(tmp[0]));
+ }
+ }
+ }
+ ++cinfo->output_iMCU_row;
+ }
+}
+
+} // namespace jpegli
+#endif // HWY_ONCE