208 lines
7.3 KiB
C++
208 lines
7.3 KiB
C++
// Copyright (c) the JPEG XL Project Authors. All rights reserved.
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//
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// Use of this source code is governed by a BSD-style
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// license that can be found in the LICENSE file.
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#include <atomic>
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#include "lib/jxl/base/rect.h"
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#include "lib/jxl/base/status.h"
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#include "lib/jxl/convolve-inl.h"
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#include "lib/jxl/convolve.h"
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namespace jxl {
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//------------------------------------------------------------------------------
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// Kernels
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// 4 instances of a given literal value, useful as input to LoadDup128.
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#define JXL_REP4(literal) literal, literal, literal, literal
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// Concentrates energy in low-frequency components (e.g. for antialiasing).
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const WeightsSymmetric3& WeightsSymmetric3Lowpass() {
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// Computed by research/convolve_weights.py's cubic spline approximations of
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// prolate spheroidal wave functions.
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constexpr float w0 = 0.36208932f;
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constexpr float w1 = 0.12820096f;
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constexpr float w2 = 0.03127668f;
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static constexpr WeightsSymmetric3 weights = {
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{JXL_REP4(w0)}, {JXL_REP4(w1)}, {JXL_REP4(w2)}};
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return weights;
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}
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const WeightsSeparable5& WeightsSeparable5Lowpass() {
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constexpr float w0 = 0.41714928f;
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constexpr float w1 = 0.25539268f;
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constexpr float w2 = 0.03603267f;
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static constexpr WeightsSeparable5 weights = {
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{JXL_REP4(w0), JXL_REP4(w1), JXL_REP4(w2)},
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{JXL_REP4(w0), JXL_REP4(w1), JXL_REP4(w2)}};
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return weights;
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}
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const WeightsSymmetric5& WeightsSymmetric5Lowpass() {
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static constexpr WeightsSymmetric5 weights = {
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{JXL_REP4(0.1740135f)}, {JXL_REP4(0.1065369f)}, {JXL_REP4(0.0150310f)},
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{JXL_REP4(0.0652254f)}, {JXL_REP4(0.0012984f)}, {JXL_REP4(0.0092025f)}};
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return weights;
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}
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const WeightsSeparable5& WeightsSeparable5Gaussian1() {
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constexpr float w0 = 0.38774f;
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constexpr float w1 = 0.24477f;
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constexpr float w2 = 0.06136f;
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static constexpr WeightsSeparable5 weights = {
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{JXL_REP4(w0), JXL_REP4(w1), JXL_REP4(w2)},
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{JXL_REP4(w0), JXL_REP4(w1), JXL_REP4(w2)}};
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return weights;
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}
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const WeightsSeparable5& WeightsSeparable5Gaussian2() {
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constexpr float w0 = 0.250301f;
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constexpr float w1 = 0.221461f;
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constexpr float w2 = 0.153388f;
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static constexpr WeightsSeparable5 weights = {
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{JXL_REP4(w0), JXL_REP4(w1), JXL_REP4(w2)},
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{JXL_REP4(w0), JXL_REP4(w1), JXL_REP4(w2)}};
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return weights;
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}
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#undef JXL_REP4
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//------------------------------------------------------------------------------
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// Slow
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namespace {
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template <class WrapX, class WrapY>
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float SlowSymmetric3Pixel(const ImageF& in, const int64_t ix, const int64_t iy,
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const int64_t xsize, const int64_t ysize,
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const WeightsSymmetric3& weights) {
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float sum = 0.0f;
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// ix: image; kx: kernel
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for (int64_t ky = -1; ky <= 1; ky++) {
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const int64_t y = WrapY()(iy + ky, ysize);
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const float* JXL_RESTRICT row_in = in.ConstRow(static_cast<size_t>(y));
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const float wc = ky == 0 ? weights.c[0] : weights.r[0];
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const float wlr = ky == 0 ? weights.r[0] : weights.d[0];
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const int64_t xm1 = WrapX()(ix - 1, xsize);
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const int64_t xp1 = WrapX()(ix + 1, xsize);
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sum += row_in[ix] * wc + (row_in[xm1] + row_in[xp1]) * wlr;
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}
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return sum;
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}
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template <class WrapY>
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void SlowSymmetric3Row(const ImageF& in, const int64_t iy, const int64_t xsize,
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const int64_t ysize, const WeightsSymmetric3& weights,
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float* JXL_RESTRICT row_out) {
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row_out[0] =
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SlowSymmetric3Pixel<WrapMirror, WrapY>(in, 0, iy, xsize, ysize, weights);
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for (int64_t ix = 1; ix < xsize - 1; ix++) {
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row_out[ix] = SlowSymmetric3Pixel<WrapUnchanged, WrapY>(in, ix, iy, xsize,
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ysize, weights);
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}
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{
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const int64_t ix = xsize - 1;
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row_out[ix] = SlowSymmetric3Pixel<WrapMirror, WrapY>(in, ix, iy, xsize,
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ysize, weights);
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}
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}
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} // namespace
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Status SlowSymmetric3(const ImageF& in, const Rect& rect,
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const WeightsSymmetric3& weights, ThreadPool* pool,
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ImageF* JXL_RESTRICT out) {
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const int64_t xsize = static_cast<int64_t>(rect.xsize());
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const int64_t ysize = static_cast<int64_t>(rect.ysize());
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const int64_t kRadius = 1;
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const auto process_row = [&](const uint32_t task,
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size_t /*thread*/) -> Status {
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const int64_t iy = task;
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float* JXL_RESTRICT out_row = out->Row(static_cast<size_t>(iy));
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if (iy < kRadius || iy >= ysize - kRadius) {
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SlowSymmetric3Row<WrapMirror>(in, iy, xsize, ysize, weights, out_row);
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} else {
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SlowSymmetric3Row<WrapUnchanged>(in, iy, xsize, ysize, weights, out_row);
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}
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return true;
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};
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JXL_RETURN_IF_ERROR(RunOnPool(pool, 0, static_cast<uint32_t>(ysize),
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ThreadPool::NoInit, process_row,
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"SlowSymmetric3"));
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return true;
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}
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namespace {
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// Separable kernels, any radius.
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StatusOr<float> SlowSeparablePixel(const ImageF& in, const Rect& rect,
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const int64_t x, const int64_t y,
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const int64_t radius,
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const float* JXL_RESTRICT horz_weights,
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const float* JXL_RESTRICT vert_weights) {
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const size_t xsize = in.xsize();
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const size_t ysize = in.ysize();
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const WrapMirror wrap;
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float mul = 0.0f;
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for (int dy = -radius; dy <= radius; ++dy) {
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const float wy = vert_weights[std::abs(dy) * 4];
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const size_t sy = wrap(rect.y0() + y + dy, ysize);
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JXL_ENSURE(sy < ysize);
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const float* const JXL_RESTRICT row = in.ConstRow(sy);
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for (int dx = -radius; dx <= radius; ++dx) {
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const float wx = horz_weights[std::abs(dx) * 4];
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const size_t sx = wrap(rect.x0() + x + dx, xsize);
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JXL_ENSURE(sx < xsize);
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mul += row[sx] * wx * wy;
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}
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}
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return mul;
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}
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template <int R, typename Weights>
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Status SlowSeparable(const ImageF& in, const Rect& in_rect,
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const Weights& weights, ThreadPool* pool, ImageF* out,
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const Rect& out_rect) {
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JXL_ENSURE(in_rect.xsize() == out_rect.xsize());
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JXL_ENSURE(in_rect.ysize() == out_rect.ysize());
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JXL_ENSURE(in_rect.IsInside(Rect(in)));
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JXL_ENSURE(out_rect.IsInside(Rect(*out)));
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const float* horz_weights = &weights.horz[0];
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const float* vert_weights = &weights.vert[0];
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const auto process_row = [&](const uint32_t task,
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size_t /*thread*/) -> Status {
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const int64_t y = task;
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float* const JXL_RESTRICT row_out = out_rect.Row(out, y);
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for (size_t x = 0; x < in_rect.xsize(); ++x) {
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JXL_ASSIGN_OR_RETURN(row_out[x],
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SlowSeparablePixel(in, in_rect, x, y, /*radius=*/R,
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horz_weights, vert_weights));
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}
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return true;
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};
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const size_t ysize = in_rect.ysize();
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JXL_RETURN_IF_ERROR(RunOnPool(pool, 0, static_cast<uint32_t>(ysize),
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ThreadPool::NoInit, process_row,
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"SlowSeparable"));
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return true;
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}
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} // namespace
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Status SlowSeparable5(const ImageF& in, const Rect& in_rect,
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const WeightsSeparable5& weights, ThreadPool* pool,
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ImageF* out, const Rect& out_rect) {
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return SlowSeparable<2>(in, in_rect, weights, pool, out, out_rect);
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}
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} // namespace jxl
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