OpenCV 5.0.0-pre
Open Source Computer Vision
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cuda.hpp File Reference
Include dependency graph for cuda.hpp:

Namespaces

namespace  cv
 
namespace  cv::cuda
 

Functions

void cv::cuda::fastNlMeansDenoising (const GpuMat &src, GpuMat &dst, float h, int search_window=21, int block_size=7, Stream &stream=Stream::Null())
 
void cv::cuda::fastNlMeansDenoising (InputArray src, OutputArray dst, float h, int search_window=21, int block_size=7, Stream &stream=Stream::Null())
 Perform image denoising using Non-local Means Denoising algorithm http://www.ipol.im/pub/algo/bcm_non_local_means_denoising with several computational optimizations. Noise expected to be a gaussian white noise.
 
void cv::cuda::fastNlMeansDenoisingColored (const GpuMat &src, GpuMat &dst, float h_luminance, float photo_render, int search_window=21, int block_size=7, Stream &stream=Stream::Null())
 
void cv::cuda::fastNlMeansDenoisingColored (InputArray src, OutputArray dst, float h_luminance, float photo_render, int search_window=21, int block_size=7, Stream &stream=Stream::Null())
 Modification of fastNlMeansDenoising function for colored images.
 
void cv::cuda::nonLocalMeans (const GpuMat &src, GpuMat &dst, float h, int search_window=21, int block_size=7, int borderMode=BORDER_DEFAULT, Stream &stream=Stream::Null())
 
void cv::cuda::nonLocalMeans (InputArray src, OutputArray dst, float h, int search_window=21, int block_size=7, int borderMode=BORDER_DEFAULT, Stream &stream=Stream::Null())
 Performs pure non local means denoising without any simplification, and thus it is not fast.