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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.
#ifndef LIB_JXL_SPLINES_H_
#define LIB_JXL_SPLINES_H_
#include <jxl/memory_manager.h>
#include <array>
#include <cmath>
#include <cstddef>
#include <cstdint>
#include <utility>
#include <vector>
#include "lib/jxl/base/compiler_specific.h"
#include "lib/jxl/base/rect.h"
#include "lib/jxl/base/status.h"
#include "lib/jxl/chroma_from_luma.h"
#include "lib/jxl/image.h"
namespace jxl {
class ANSSymbolReader;
class BitReader;
static constexpr float kDesiredRenderingDistance = 1.f;
typedef std::array<float, 32> Dct32;
enum SplineEntropyContexts : size_t {
kQuantizationAdjustmentContext = 0,
kStartingPositionContext,
kNumSplinesContext,
kNumControlPointsContext,
kControlPointsContext,
kDCTContext,
kNumSplineContexts
};
struct Spline {
struct Point {
Point() : x(0.0f), y(0.0f) {}
Point(float x, float y) : x(x), y(y) {}
float x, y;
bool operator==(const Point& other) const {
return std::fabs(x - other.x) < 1e-3f && std::fabs(y - other.y) < 1e-3f;
}
};
std::vector<Point> control_points;
// X, Y, B.
std::array<Dct32, 3> color_dct;
// Splines are draws by normalized Gaussian splatting. This controls the
// Gaussian's parameter along the spline.
Dct32 sigma_dct;
};
class QuantizedSplineEncoder;
class QuantizedSpline {
public:
QuantizedSpline() = default;
// TODO(eustas): move this out of library code
static StatusOr<QuantizedSpline> Create(const Spline& original,
int32_t quantization_adjustment,
float y_to_x, float y_to_b);
Status Dequantize(const Spline::Point& starting_point,
int32_t quantization_adjustment, float y_to_x, float y_to_b,
uint64_t image_size, uint64_t* total_estimated_area_reached,
Spline& result) const;
Status Decode(const std::vector<uint8_t>& context_map,
ANSSymbolReader* decoder, BitReader* br,
size_t max_control_points, size_t* total_num_control_points);
private:
friend class QuantizedSplineEncoder;
std::vector<std::pair<int64_t, int64_t>>
control_points_; // Double delta-encoded.
int color_dct_[3][32] = {};
int sigma_dct_[32] = {};
};
// A single "drawable unit" of a spline, i.e. a line of the region in which we
// render each Gaussian. The structure doesn't actually depend on the exact
// row, which allows reuse for different y values (which are tracked
// separately).
struct SplineSegment {
float center_x, center_y;
float maximum_distance;
float inv_sigma;
float sigma_over_4_times_intensity;
float color[3];
};
class Splines {
public:
Splines() = default;
explicit Splines(const int32_t quantization_adjustment,
std::vector<QuantizedSpline> splines,
std::vector<Spline::Point> starting_points)
: quantization_adjustment_(quantization_adjustment),
splines_(std::move(splines)),
starting_points_(std::move(starting_points)) {}
bool HasAny() const { return !splines_.empty(); }
void Clear();
Status Decode(JxlMemoryManager* memory_manager, BitReader* br,
size_t num_pixels);
void AddTo(Image3F* opsin, const Rect& opsin_rect) const;
void AddToRow(float* JXL_RESTRICT row_x, float* JXL_RESTRICT row_y,
float* JXL_RESTRICT row_b, size_t y, size_t x0,
size_t x1) const;
void SubtractFrom(Image3F* opsin) const;
const std::vector<QuantizedSpline>& QuantizedSplines() const {
return splines_;
}
const std::vector<Spline::Point>& StartingPoints() const {
return starting_points_;
}
int32_t GetQuantizationAdjustment() const { return quantization_adjustment_; }
Status InitializeDrawCache(size_t image_xsize, size_t image_ysize,
const ColorCorrelation& color_correlation);
private:
template <bool>
void ApplyToRow(float* JXL_RESTRICT row_x, float* JXL_RESTRICT row_y,
float* JXL_RESTRICT row_b, size_t y, size_t x0,
size_t x1) const;
template <bool>
void Apply(Image3F* opsin, const Rect& opsin_rect) const;
// If positive, quantization weights are multiplied by 1 + this/8, which
// increases precision. If negative, they are divided by 1 - this/8. If 0,
// they are unchanged.
int32_t quantization_adjustment_ = 0;
std::vector<QuantizedSpline> splines_;
std::vector<Spline::Point> starting_points_;
std::vector<SplineSegment> segments_;
std::vector<size_t> segment_indices_;
std::vector<size_t> segment_y_start_;
};
} // namespace jxl
#endif // LIB_JXL_SPLINES_H_