OpenCV  2.4.13.7
Open Source Computer Vision
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)


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