bm3d_image_denoising.hpp File Reference

#include <opencv2/core.hpp>

Include dependency graph for bm3d_image_denoising.hpp:

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Namespaces
namespace	cv
namespace	cv::xphoto

Enumerations
enum	cv::xphoto::Bm3dSteps {   cv::xphoto::BM3D_STEPALL = 0 ,   cv::xphoto::BM3D_STEP1 = 1 ,   cv::xphoto::BM3D_STEP2 = 2 }
	BM3D algorithm steps. More...
enum	cv::xphoto::TransformTypes { cv::xphoto::HAAR = 0 }
	BM3D transform types. More...

Functions
void	cv::xphoto::bm3dDenoising (InputArray src, InputOutputArray dstStep1, OutputArray dstStep2, float h=1, int templateWindowSize=4, int searchWindowSize=16, int blockMatchingStep1=2500, int blockMatchingStep2=400, int groupSize=8, int slidingStep=1, float beta=2.0f, int normType=cv::NORM_L2, int step=cv::xphoto::BM3D_STEPALL, int transformType=cv::xphoto::HAAR)
	Performs image denoising using the Block-Matching and 3D-filtering algorithm http://www.cs.tut.fi/~foi/GCF-BM3D/BM3D_TIP_2007.pdf with several computational optimizations. Noise expected to be a gaussian white noise.
void	cv::xphoto::bm3dDenoising (InputArray src, OutputArray dst, float h=1, int templateWindowSize=4, int searchWindowSize=16, int blockMatchingStep1=2500, int blockMatchingStep2=400, int groupSize=8, int slidingStep=1, float beta=2.0f, int normType=cv::NORM_L2, int step=cv::xphoto::BM3D_STEPALL, int transformType=cv::xphoto::HAAR)
	Performs image denoising using the Block-Matching and 3D-filtering algorithm http://www.cs.tut.fi/~foi/GCF-BM3D/BM3D_TIP_2007.pdf with several computational optimizations. Noise expected to be a gaussian white noise.

Detailed Description

Date

Jul 19, 2016

Author

Bartek Pawlik