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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-19 00:47:55 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-19 00:47:55 +0000 |
commit | 26a029d407be480d791972afb5975cf62c9360a6 (patch) | |
tree | f435a8308119effd964b339f76abb83a57c29483 /third_party/jpeg-xl/lib/jxl/alpha.cc | |
parent | Initial commit. (diff) | |
download | firefox-26a029d407be480d791972afb5975cf62c9360a6.tar.xz firefox-26a029d407be480d791972afb5975cf62c9360a6.zip |
Adding upstream version 124.0.1.upstream/124.0.1
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'third_party/jpeg-xl/lib/jxl/alpha.cc')
-rw-r--r-- | third_party/jpeg-xl/lib/jxl/alpha.cc | 115 |
1 files changed, 115 insertions, 0 deletions
diff --git a/third_party/jpeg-xl/lib/jxl/alpha.cc b/third_party/jpeg-xl/lib/jxl/alpha.cc new file mode 100644 index 0000000000..48d7e7ee92 --- /dev/null +++ b/third_party/jpeg-xl/lib/jxl/alpha.cc @@ -0,0 +1,115 @@ +// 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/alpha.h" + +#include <string.h> + +#include <algorithm> + +namespace jxl { + +static float Clamp(float x) { return std::max(std::min(1.0f, x), 0.0f); } + +void PerformAlphaBlending(const AlphaBlendingInputLayer& bg, + const AlphaBlendingInputLayer& fg, + const AlphaBlendingOutput& out, size_t num_pixels, + bool alpha_is_premultiplied, bool clamp) { + if (alpha_is_premultiplied) { + for (size_t x = 0; x < num_pixels; ++x) { + float fga = clamp ? Clamp(fg.a[x]) : fg.a[x]; + out.r[x] = (fg.r[x] + bg.r[x] * (1.f - fga)); + out.g[x] = (fg.g[x] + bg.g[x] * (1.f - fga)); + out.b[x] = (fg.b[x] + bg.b[x] * (1.f - fga)); + out.a[x] = (1.f - (1.f - fga) * (1.f - bg.a[x])); + } + } else { + for (size_t x = 0; x < num_pixels; ++x) { + float fga = clamp ? Clamp(fg.a[x]) : fg.a[x]; + const float new_a = 1.f - (1.f - fga) * (1.f - bg.a[x]); + const float rnew_a = (new_a > 0 ? 1.f / new_a : 0.f); + out.r[x] = (fg.r[x] * fga + bg.r[x] * bg.a[x] * (1.f - fga)) * rnew_a; + out.g[x] = (fg.g[x] * fga + bg.g[x] * bg.a[x] * (1.f - fga)) * rnew_a; + out.b[x] = (fg.b[x] * fga + bg.b[x] * bg.a[x] * (1.f - fga)) * rnew_a; + out.a[x] = new_a; + } + } +} +void PerformAlphaBlending(const float* bg, const float* bga, const float* fg, + const float* fga, float* out, size_t num_pixels, + bool alpha_is_premultiplied, bool clamp) { + if (bg == bga && fg == fga) { + for (size_t x = 0; x < num_pixels; ++x) { + float fa = clamp ? fga[x] : Clamp(fga[x]); + out[x] = (1.f - (1.f - fa) * (1.f - bga[x])); + } + } else { + if (alpha_is_premultiplied) { + for (size_t x = 0; x < num_pixels; ++x) { + float fa = clamp ? fga[x] : Clamp(fga[x]); + out[x] = (fg[x] + bg[x] * (1.f - fa)); + } + } else { + for (size_t x = 0; x < num_pixels; ++x) { + float fa = clamp ? fga[x] : Clamp(fga[x]); + const float new_a = 1.f - (1.f - fa) * (1.f - bga[x]); + const float rnew_a = (new_a > 0 ? 1.f / new_a : 0.f); + out[x] = (fg[x] * fa + bg[x] * bga[x] * (1.f - fa)) * rnew_a; + } + } + } +} + +void PerformAlphaWeightedAdd(const float* bg, const float* fg, const float* fga, + float* out, size_t num_pixels, bool clamp) { + if (fg == fga) { + memcpy(out, bg, num_pixels * sizeof(*out)); + } else if (clamp) { + for (size_t x = 0; x < num_pixels; ++x) { + out[x] = bg[x] + fg[x] * Clamp(fga[x]); + } + } else { + for (size_t x = 0; x < num_pixels; ++x) { + out[x] = bg[x] + fg[x] * fga[x]; + } + } +} + +void PerformMulBlending(const float* bg, const float* fg, float* out, + size_t num_pixels, bool clamp) { + if (clamp) { + for (size_t x = 0; x < num_pixels; ++x) { + out[x] = bg[x] * Clamp(fg[x]); + } + } else { + for (size_t x = 0; x < num_pixels; ++x) { + out[x] = bg[x] * fg[x]; + } + } +} + +void PremultiplyAlpha(float* JXL_RESTRICT r, float* JXL_RESTRICT g, + float* JXL_RESTRICT b, const float* JXL_RESTRICT a, + size_t num_pixels) { + for (size_t x = 0; x < num_pixels; ++x) { + const float multiplier = std::max(kSmallAlpha, a[x]); + r[x] *= multiplier; + g[x] *= multiplier; + b[x] *= multiplier; + } +} + +void UnpremultiplyAlpha(float* JXL_RESTRICT r, float* JXL_RESTRICT g, + float* JXL_RESTRICT b, const float* JXL_RESTRICT a, + size_t num_pixels) { + for (size_t x = 0; x < num_pixels; ++x) { + const float multiplier = 1.f / std::max(kSmallAlpha, a[x]); + r[x] *= multiplier; + g[x] *= multiplier; + b[x] *= multiplier; + } +} + +} // namespace jxl |