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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-07 19:33:14 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-07 19:33:14 +0000 |
commit | 36d22d82aa202bb199967e9512281e9a53db42c9 (patch) | |
tree | 105e8c98ddea1c1e4784a60a5a6410fa416be2de /third_party/jpeg-xl/lib/jxl/enc_detect_dots.h | |
parent | Initial commit. (diff) | |
download | firefox-esr-36d22d82aa202bb199967e9512281e9a53db42c9.tar.xz firefox-esr-36d22d82aa202bb199967e9512281e9a53db42c9.zip |
Adding upstream version 115.7.0esr.upstream/115.7.0esrupstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'third_party/jpeg-xl/lib/jxl/enc_detect_dots.h')
-rw-r--r-- | third_party/jpeg-xl/lib/jxl/enc_detect_dots.h | 67 |
1 files changed, 67 insertions, 0 deletions
diff --git a/third_party/jpeg-xl/lib/jxl/enc_detect_dots.h b/third_party/jpeg-xl/lib/jxl/enc_detect_dots.h new file mode 100644 index 0000000000..c3071d9a2f --- /dev/null +++ b/third_party/jpeg-xl/lib/jxl/enc_detect_dots.h @@ -0,0 +1,67 @@ +// 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. + +// We attempt to remove dots, or speckle from images using Gaussian blur. +#ifndef LIB_JXL_ENC_DETECT_DOTS_H_ +#define LIB_JXL_ENC_DETECT_DOTS_H_ + +#include <stddef.h> +#include <stdint.h> + +#include <array> +#include <vector> + +#include "lib/jxl/base/data_parallel.h" +#include "lib/jxl/dec_patch_dictionary.h" +#include "lib/jxl/enc_patch_dictionary.h" +#include "lib/jxl/image.h" + +namespace jxl { + +struct GaussianDetectParams { + double t_high = 0; // at least one pixel must have larger energy than t_high + double t_low = 0; // all pixels must have a larger energy than tLow + uint32_t maxWinSize = 0; // discard dots larger than this containing window + double maxL2Loss = 0; + double maxCustomLoss = 0; + double minIntensity = 0; // If the intensity is too low, discard it + double maxDistMeanMode = 0; // The mean and the mode must be close + size_t maxNegPixels = 0; // Maximum number of negative pixel + size_t minScore = 0; + size_t maxCC = 50; // Maximum number of CC to keep + size_t percCC = 15; // Percentage in [0,100] of CC to keep +}; + +// Ellipse Quantization Params +struct EllipseQuantParams { + size_t xsize; // Image size in x + size_t ysize; // Image size in y + size_t qPosition; // Position quantization delta + // Quantization for the Gaussian sigma parameters + double minSigma; + double maxSigma; + size_t qSigma; // number of quantization levels + // Quantization for the rotation angle (between -pi and pi) + size_t qAngle; + // Quantization for the intensity + std::array<double, 3> minIntensity; + std::array<double, 3> maxIntensity; + std::array<size_t, 3> qIntensity; // number of quantization levels + // Extra parameters for the encoding + bool subtractQuantized; // Should we subtract quantized or detected dots? + float ytox; + float ytob; + + void QuantPositionSize(size_t* xsize, size_t* ysize) const; +}; + +// Detects dots in XYB image. +std::vector<PatchInfo> DetectGaussianEllipses( + const Image3F& opsin, const GaussianDetectParams& params, + const EllipseQuantParams& qParams, ThreadPool* pool); + +} // namespace jxl + +#endif // LIB_JXL_ENC_DETECT_DOTS_H_ |