Coverage Report

Created: 2025-11-14 07:32

next uncovered line (L), next uncovered region (R), next uncovered branch (B)
/src/libjxl/lib/jxl/alpha.cc
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// 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 "lib/jxl/alpha.h"
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#include <algorithm>
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#include <cstring>
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#include "lib/jxl/base/common.h"
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#include "lib/jxl/base/compiler_specific.h"
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namespace jxl {
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22.7M
static float Clamp(float x) { return jxl::Clamp1(x, 0.0f, 1.0f); }
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void PerformAlphaBlending(const AlphaBlendingInputLayer& bg,
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                          const AlphaBlendingInputLayer& fg,
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                          const AlphaBlendingOutput& out, size_t num_pixels,
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22.1k
                          bool alpha_is_premultiplied, bool clamp) {
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22.1k
  if (alpha_is_premultiplied) {
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450k
    for (size_t x = 0; x < num_pixels; ++x) {
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445k
      float fga = clamp ? Clamp(fg.a[x]) : fg.a[x];
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445k
      out.r[x] = (fg.r[x] + bg.r[x] * (1.f - fga));
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445k
      out.g[x] = (fg.g[x] + bg.g[x] * (1.f - fga));
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445k
      out.b[x] = (fg.b[x] + bg.b[x] * (1.f - fga));
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445k
      out.a[x] = (1.f - (1.f - fga) * (1.f - bg.a[x]));
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445k
    }
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17.8k
  } else {
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1.98M
    for (size_t x = 0; x < num_pixels; ++x) {
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1.96M
      float fga = clamp ? Clamp(fg.a[x]) : fg.a[x];
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1.96M
      const float new_a = 1.f - (1.f - fga) * (1.f - bg.a[x]);
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1.96M
      const float rnew_a = (new_a > 0 ? 1.f / new_a : 0.f);
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1.96M
      out.r[x] = (fg.r[x] * fga + bg.r[x] * bg.a[x] * (1.f - fga)) * rnew_a;
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1.96M
      out.g[x] = (fg.g[x] * fga + bg.g[x] * bg.a[x] * (1.f - fga)) * rnew_a;
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1.96M
      out.b[x] = (fg.b[x] * fga + bg.b[x] * bg.a[x] * (1.f - fga)) * rnew_a;
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1.96M
      out.a[x] = new_a;
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1.96M
    }
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17.8k
  }
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22.1k
}
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void PerformAlphaBlending(const float* bg, const float* bga, const float* fg,
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                          const float* fga, float* out, size_t num_pixels,
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72.3k
                          bool alpha_is_premultiplied, bool clamp) {
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72.3k
  if (bg == bga && fg == fga) {
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1.04M
    for (size_t x = 0; x < num_pixels; ++x) {
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1.03M
      float fa = clamp ? Clamp(fga[x]) : fga[x];
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1.03M
      out[x] = (1.f - (1.f - fa) * (1.f - bga[x]));
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1.03M
    }
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61.3k
  } else {
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61.3k
    if (alpha_is_premultiplied) {
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273k
      for (size_t x = 0; x < num_pixels; ++x) {
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240k
        float fa = clamp ? Clamp(fga[x]) : fga[x];
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240k
        out[x] = (fg[x] + bg[x] * (1.f - fa));
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240k
      }
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32.9k
    } else {
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1.45M
      for (size_t x = 0; x < num_pixels; ++x) {
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1.42M
        float fa = clamp ? Clamp(fga[x]) : fga[x];
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1.42M
        const float new_a = 1.f - (1.f - fa) * (1.f - bga[x]);
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1.42M
        const float rnew_a = (new_a > 0 ? 1.f / new_a : 0.f);
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1.42M
        out[x] = (fg[x] * fa + bg[x] * bga[x] * (1.f - fa)) * rnew_a;
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1.42M
      }
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28.4k
    }
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61.3k
  }
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72.3k
}
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void PerformAlphaWeightedAdd(const float* bg, const float* fg, const float* fga,
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101k
                             float* out, size_t num_pixels, bool clamp) {
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101k
  if (fg == fga) {
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12.1k
    memcpy(out, bg, num_pixels * sizeof(*out));
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89.2k
  } else if (clamp) {
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134k
    for (size_t x = 0; x < num_pixels; ++x) {
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130k
      out[x] = bg[x] + fg[x] * Clamp(fga[x]);
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130k
    }
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84.5k
  } else {
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48.1M
    for (size_t x = 0; x < num_pixels; ++x) {
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48.0M
      out[x] = bg[x] + fg[x] * fga[x];
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48.0M
    }
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84.5k
  }
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101k
}
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void PerformMulBlending(const float* bg, const float* fg, float* out,
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96.2k
                        size_t num_pixels, bool clamp) {
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96.2k
  if (clamp) {
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20.6M
    for (size_t x = 0; x < num_pixels; ++x) {
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20.5M
      out[x] = bg[x] * Clamp(fg[x]);
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20.5M
    }
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80.1k
  } else {
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713k
    for (size_t x = 0; x < num_pixels; ++x) {
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697k
      out[x] = bg[x] * fg[x];
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697k
    }
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16.0k
  }
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96.2k
}
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void PremultiplyAlpha(float* JXL_RESTRICT r, float* JXL_RESTRICT g,
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                      float* JXL_RESTRICT b, const float* JXL_RESTRICT a,
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0
                      size_t num_pixels) {
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0
  for (size_t x = 0; x < num_pixels; ++x) {
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0
    const float multiplier = std::max(kSmallAlpha, a[x]);
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0
    r[x] *= multiplier;
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0
    g[x] *= multiplier;
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    b[x] *= multiplier;
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0
  }
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0
}
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void UnpremultiplyAlpha(float* JXL_RESTRICT r, float* JXL_RESTRICT g,
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                        float* JXL_RESTRICT b, const float* JXL_RESTRICT a,
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0
                        size_t num_pixels) {
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0
  for (size_t x = 0; x < num_pixels; ++x) {
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0
    const float multiplier = 1.f / std::max(kSmallAlpha, a[x]);
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0
    r[x] *= multiplier;
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0
    g[x] *= multiplier;
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0
    b[x] *= multiplier;
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0
  }
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0
}
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}  // namespace jxl