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// For Open Source Computer Vision Library
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// Copyright (C) 2015, The Chinese University of Hong Kong, all rights reserved.
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#ifndef __OPENCV_WEIGHTED_MEDIAN_FILTER_HPP__
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#define __OPENCV_WEIGHTED_MEDIAN_FILTER_HPP__
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#ifdef __cplusplus
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/**
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* @file
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* @date Sept 9, 2015
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* @author Zhou Chao
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*/
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#include <opencv2/core.hpp>
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#include <string>
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namespace cv
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{
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namespace ximgproc
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{
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/**
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* @brief Specifies weight types of weighted median filter.
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*/
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enum WMFWeightType
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{
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WMF_EXP = 1 , //!< \f$exp(-|I1-I2|^2/(2*sigma^2))\f$
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WMF_IV1 = 1 << 1, //!< \f$(|I1-I2|+sigma)^-1\f$
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WMF_IV2 = 1 << 2, //!< \f$(|I1-I2|^2+sigma^2)^-1\f$
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WMF_COS = 1 << 3, //!< \f$dot(I1,I2)/(|I1|*|I2|)\f$
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WMF_JAC = 1 << 4, //!< \f$(min(r1,r2)+min(g1,g2)+min(b1,b2))/(max(r1,r2)+max(g1,g2)+max(b1,b2))\f$
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WMF_OFF = 1 << 5 //!< unweighted
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};
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/**
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* @brief Applies weighted median filter to an image.
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*
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* For more details about this implementation, please see @cite zhang2014100+
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*
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* @param joint Joint 8-bit, 1-channel or 3-channel image.
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* @param src Source 8-bit or floating-point, 1-channel or 3-channel image.
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* @param dst Destination image.
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* @param r Radius of filtering kernel, should be a positive integer.
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* @param sigma Filter range standard deviation for the joint image.
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* @param weightType weightType The type of weight definition, see WMFWeightType
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* @param mask A 0-1 mask that has the same size with I. This mask is used to ignore the effect of some pixels. If the pixel value on mask is 0,
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* the pixel will be ignored when maintaining the joint-histogram. This is useful for applications like optical flow occlusion handling.
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*
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* @sa medianBlur, jointBilateralFilter
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*/
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CV_EXPORTS_W void weightedMedianFilter(InputArray joint, InputArray src, OutputArray dst,
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int r, double sigma = 25.5, int weightType = WMF_EXP, InputArray mask = noArray());
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}
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}
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#endif
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#endif
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