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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 <array>
#include <cmath>
#include <cstddef>
#include <cstdint>
#include <cstring>
#include <vector>
#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"
#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];
J_DITHER_MODE dither_mode = cinfo->dither_mode;
if (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 (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 (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 (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 (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) {
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) {
HWY_DYNAMIC_DISPATCH(WriteToOutput)
(cinfo, rows, xoffset, len, num_channels, output);
}
void DecenterRow(float* row, size_t xsize) {
HWY_DYNAMIC_DISPATCH(DecenterRow)(row, xsize);
}
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 coefficients.
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];
};
JPEGLI_CHECK(coef_index >= 0 && coef_index < 10);
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:
default:
// 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;
bool smoothing = do_smoothing(cinfo);
m->apply_smoothing = smoothing && FROM_JXL_BOOL(cinfo->do_block_smoothing);
size_t coeffs_per_block = cinfo->num_components * DCTSIZE2;
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_));
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);
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;
}
}
JPEGLI_CHECK(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 blocks[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;
blocks[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 = &blocks[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 = &blocks[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, blocks[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 context = m->need_context_rows_ ? 1 : 0;
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 > context &&
cinfo->output_scanline < (imcu_row - context) * 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 - context) * 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];
int downsampled_width = output_width / m->h_factor[c];
size_t yc = y / m->v_factor[c];
for (int dy = 0; dy < line_groups; ++dy) {
size_t ymid = yc + dy;
const float* JXL_RESTRICT row_mid = raw_out->Row(ymid);
if (cinfo->do_fancy_upsampling && m->v_factor[c] == 2) {
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), downsampled_width);
} else {
for (int yix = 0; yix < m->v_factor[c]; ++yix) {
memcpy(render_out->Row(m->v_factor[c] * dy + yix), row_mid,
downsampled_width * sizeof(float));
}
}
if (m->h_factor[c] > 1) {
for (int yix = 0; yix < m->v_factor[c]; ++yix) {
int row_ix = m->v_factor[c] * dy + yix;
float* JXL_RESTRICT row = render_out->Row(row_ix);
float* JXL_RESTRICT tmp = m->upsample_scratch_;
if (cinfo->do_fancy_upsampling && m->h_factor[c] == 2) {
Upsample2Horizontal(row, tmp, output_width);
} else {
// 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]));
}
}
}
}
}
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);
}
JPEGLI_CHECK(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);
++cinfo->output_iMCU_row;
}
}
} // namespace jpegli
#endif // HWY_ONCE