cv::gpu::FastNonLocalMeansDenoising Class Reference

Fast (but approximate)version of non-local means algorith similar to CPU function (running sums technique) More...

#include <gpu.hpp>

Public Member Functions
void	simpleMethod (const GpuMat &src, GpuMat &dst, float h, int search_window=21, int block_size=7, Stream &s=Stream::Null())
	Simple method, recommended for grayscale images (though it supports multichannel images) More...
void	labMethod (const GpuMat &src, GpuMat &dst, float h_luminance, float h_color, int search_window=21, int block_size=7, Stream &s=Stream::Null())
	Processes luminance and color components separatelly. More...

Detailed Description

Fast (but approximate)version of non-local means algorith similar to CPU function (running sums technique)

Member Function Documentation

labMethod()

void cv::gpu::FastNonLocalMeansDenoising::labMethod	(	const GpuMat &	src,
		GpuMat &	dst,
		float	h_luminance,
		float	h_color,
		int	search_window = 21,
		int	block_size = 7,
		Stream &	s = Stream::Null()
	)

Processes luminance and color components separatelly.

simpleMethod()

void cv::gpu::FastNonLocalMeansDenoising::simpleMethod	(	const GpuMat &	src,
		GpuMat &	dst,
		float	h,
		int	search_window = 21,
		int	block_size = 7,
		Stream &	s = Stream::Null()
	)

Simple method, recommended for grayscale images (though it supports multichannel images)

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The documentation for this class was generated from the following file:

• gpu/include/opencv2/gpu/gpu.hpp