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OpenCV
3.4.20
Open Source Computer Vision
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#include <opencv2/core.hpp>
Namespaces | |
cv | |
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. More... | |
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. More... | |