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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-07 17:32:43 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-07 17:32:43 +0000
commit6bf0a5cb5034a7e684dcc3500e841785237ce2dd (patch)
treea68f146d7fa01f0134297619fbe7e33db084e0aa /third_party/jpeg-xl/lib/jxl/quantizer.cc
parentInitial commit. (diff)
downloadthunderbird-upstream.tar.xz
thunderbird-upstream.zip
Adding upstream version 1:115.7.0.upstream/1%115.7.0upstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
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-rw-r--r--third_party/jpeg-xl/lib/jxl/quantizer.cc156
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diff --git a/third_party/jpeg-xl/lib/jxl/quantizer.cc b/third_party/jpeg-xl/lib/jxl/quantizer.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/jxl/quantizer.h"
+
+#include <stdio.h>
+#include <string.h>
+
+#include <algorithm>
+
+#include "lib/jxl/base/compiler_specific.h"
+#include "lib/jxl/field_encodings.h"
+#include "lib/jxl/fields.h"
+#include "lib/jxl/image.h"
+#include "lib/jxl/image_ops.h"
+#include "lib/jxl/quant_weights.h"
+
+namespace jxl {
+
+static const int32_t kDefaultQuant = 64;
+
+constexpr int32_t Quantizer::kQuantMax;
+
+Quantizer::Quantizer(const DequantMatrices* dequant)
+ : Quantizer(dequant, kDefaultQuant, kGlobalScaleDenom / kDefaultQuant) {}
+
+Quantizer::Quantizer(const DequantMatrices* dequant, int quant_dc,
+ int global_scale)
+ : global_scale_(global_scale), quant_dc_(quant_dc), dequant_(dequant) {
+ JXL_ASSERT(dequant_ != nullptr);
+ RecomputeFromGlobalScale();
+ inv_quant_dc_ = inv_global_scale_ / quant_dc_;
+
+ memcpy(zero_bias_, kZeroBiasDefault, sizeof(kZeroBiasDefault));
+}
+
+void Quantizer::ComputeGlobalScaleAndQuant(float quant_dc, float quant_median,
+ float quant_median_absd) {
+ // Target value for the median value in the quant field.
+ const float kQuantFieldTarget = 5;
+ // We reduce the median of the quant field by the median absolute deviation:
+ // higher resolution on highly varying quant fields.
+ float scale = kGlobalScaleDenom * (quant_median - quant_median_absd) /
+ kQuantFieldTarget;
+ // Ensure that new_global_scale is positive and no more than 1<<15.
+ if (scale < 1) scale = 1;
+ if (scale > (1 << 15)) scale = 1 << 15;
+ int new_global_scale = static_cast<int>(scale);
+ // Ensure that quant_dc_ will always be at least
+ // 0.625 * kGlobalScaleDenom/kGlobalScaleNumerator = 10.
+ const int scaled_quant_dc =
+ static_cast<int>(quant_dc * kGlobalScaleNumerator * 1.6);
+ if (new_global_scale > scaled_quant_dc) {
+ new_global_scale = scaled_quant_dc;
+ if (new_global_scale <= 0) new_global_scale = 1;
+ }
+ global_scale_ = new_global_scale;
+ // Code below uses inv_global_scale_.
+ RecomputeFromGlobalScale();
+
+ float fval = quant_dc * inv_global_scale_ + 0.5f;
+ fval = std::min<float>(1 << 16, fval);
+ const int new_quant_dc = static_cast<int>(fval);
+ quant_dc_ = new_quant_dc;
+
+ // quant_dc_ was updated, recompute values.
+ RecomputeFromGlobalScale();
+}
+
+void Quantizer::SetQuantFieldRect(const ImageF& qf, const Rect& rect,
+ ImageI* JXL_RESTRICT raw_quant_field) const {
+ for (size_t y = 0; y < rect.ysize(); ++y) {
+ const float* JXL_RESTRICT row_qf = rect.ConstRow(qf, y);
+ int32_t* JXL_RESTRICT row_qi = rect.Row(raw_quant_field, y);
+ for (size_t x = 0; x < rect.xsize(); ++x) {
+ int val = ClampVal(row_qf[x] * inv_global_scale_ + 0.5f);
+ row_qi[x] = val;
+ }
+ }
+}
+
+void Quantizer::SetQuantField(const float quant_dc, const ImageF& qf,
+ ImageI* JXL_RESTRICT raw_quant_field) {
+ std::vector<float> data(qf.xsize() * qf.ysize());
+ for (size_t y = 0; y < qf.ysize(); ++y) {
+ const float* JXL_RESTRICT row_qf = qf.Row(y);
+ for (size_t x = 0; x < qf.xsize(); ++x) {
+ float quant = row_qf[x];
+ data[qf.xsize() * y + x] = quant;
+ }
+ }
+ std::nth_element(data.begin(), data.begin() + data.size() / 2, data.end());
+ const float quant_median = data[data.size() / 2];
+ std::vector<float> deviations(data.size());
+ for (size_t i = 0; i < data.size(); i++) {
+ deviations[i] = fabsf(data[i] - quant_median);
+ }
+ std::nth_element(deviations.begin(),
+ deviations.begin() + deviations.size() / 2,
+ deviations.end());
+ const float quant_median_absd = deviations[deviations.size() / 2];
+ ComputeGlobalScaleAndQuant(quant_dc, quant_median, quant_median_absd);
+ if (raw_quant_field) {
+ JXL_CHECK(SameSize(*raw_quant_field, qf));
+ SetQuantFieldRect(qf, Rect(qf), raw_quant_field);
+ }
+}
+
+void Quantizer::SetQuant(float quant_dc, float quant_ac,
+ ImageI* JXL_RESTRICT raw_quant_field) {
+ ComputeGlobalScaleAndQuant(quant_dc, quant_ac, 0);
+ int32_t val = ClampVal(quant_ac * inv_global_scale_ + 0.5f);
+ FillImage(val, raw_quant_field);
+}
+
+Status QuantizerParams::VisitFields(Visitor* JXL_RESTRICT visitor) {
+ JXL_QUIET_RETURN_IF_ERROR(visitor->U32(
+ BitsOffset(11, 1), BitsOffset(11, 2049), BitsOffset(12, 4097),
+ BitsOffset(16, 8193), 1, &global_scale));
+ JXL_QUIET_RETURN_IF_ERROR(visitor->U32(Val(16), BitsOffset(5, 1),
+ BitsOffset(8, 1), BitsOffset(16, 1), 1,
+ &quant_dc));
+ return true;
+}
+
+QuantizerParams Quantizer::GetParams() const {
+ QuantizerParams params;
+ params.global_scale = global_scale_;
+ params.quant_dc = quant_dc_;
+ return params;
+}
+
+Status Quantizer::Decode(BitReader* reader) {
+ QuantizerParams params;
+ JXL_RETURN_IF_ERROR(Bundle::Read(reader, &params));
+ global_scale_ = static_cast<int>(params.global_scale);
+ quant_dc_ = static_cast<int>(params.quant_dc);
+ RecomputeFromGlobalScale();
+ return true;
+}
+
+void Quantizer::DumpQuantizationMap(const ImageI& raw_quant_field) const {
+ printf("Global scale: %d (%.7f)\nDC quant: %d\n", global_scale_,
+ global_scale_ * 1.0 / kGlobalScaleDenom, quant_dc_);
+ printf("AC quantization Map:\n");
+ for (size_t y = 0; y < raw_quant_field.ysize(); ++y) {
+ for (size_t x = 0; x < raw_quant_field.xsize(); ++x) {
+ printf(" %3d", raw_quant_field.Row(y)[x]);
+ }
+ printf("\n");
+ }
+}
+
+} // namespace jxl