bm3d_image_denoising.hpp ファイル

#include <opencv2/core.hpp>

[ソースコード]

名前空間
namespace	cv
	"black box" representation of the file storage associated with a file on disk.

列挙型
enum	cv::xphoto::TransformTypes { cv::xphoto::HAAR = 0 }
	BM3D transform types [詳解]
enum	cv::xphoto::Bm3dSteps { cv::xphoto::BM3D_STEPALL = 0 , cv::xphoto::BM3D_STEP1 = 1 , cv::xphoto::BM3D_STEP2 = 2 }
	BM3D algorithm steps [詳解]

関数
CV_EXPORTS_W 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. [詳解]
CV_EXPORTS_W 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. [詳解]

詳解

日付

Jul 19, 2016

著者

Bartek Pawlik