cv::xphoto Namespace Reference

Classes
class	GrayworldWB
	Gray-world white balance algorithm. More...
class	LearningBasedWB
	More sophisticated learning-based automatic white balance algorithm. More...
class	SimpleWB
	A simple white balance algorithm that works by independently stretching each of the input image channels to the specified range. For increased robustness it ignores the top and bottom \(p\%\) of pixel values. More...
class	WhiteBalancer
	The base class for auto white balance algorithms. More...

Enumerations
enum	Bm3dSteps {   BM3D_STEPALL = 0,   BM3D_STEP1 = 1,   BM3D_STEP2 = 2 }
	BM3D algorithm steps. More...
enum	InpaintTypes { INPAINT_SHIFTMAP = 0 }
	various inpainting algorithms More...
enum	TransformTypes { HAAR = 0 }
	BM3D transform types. More...

Functions
void	applyChannelGains (InputArray src, OutputArray dst, float gainB, float gainG, float gainR)
	Implements an efficient fixed-point approximation for applying channel gains, which is the last step of multiple white balance algorithms. More...
void	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	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...
Ptr< GrayworldWB >	createGrayworldWB ()
	Creates an instance of GrayworldWB. More...
Ptr< LearningBasedWB >	createLearningBasedWB (const String &path_to_model=String())
	Creates an instance of LearningBasedWB. More...
Ptr< SimpleWB >	createSimpleWB ()
	Creates an instance of SimpleWB. More...
void	dctDenoising (const Mat &src, Mat &dst, const double sigma, const int psize=16)
	The function implements simple dct-based denoising. More...
void	inpaint (const Mat &src, const Mat &mask, Mat &dst, const int algorithmType)
	The function implements different single-image inpainting algorithms. More...
void	oilPainting (InputArray src, OutputArray dst, int size, int dynRatio, int code)
	oilPainting See the book [31] for details. More...
void	oilPainting (InputArray src, OutputArray dst, int size, int dynRatio)
	oilPainting See the book [31] for details. More...