// 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_
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;
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