Classes
class	cv::ximgproc::AdaptiveManifoldFilter
	Interface for Adaptive Manifold Filter realizations. More...

class	cv::ximgproc::DTFilter
	Interface for realizations of Domain Transform filter. More...

class	cv::ximgproc::GuidedFilter
	Interface for realizations of Guided Filter. More...

Enumerations
enum	cv::ximgproc::EdgeAwareFiltersList { cv::ximgproc::DTF_NC, cv::ximgproc::DTF_IC, cv::ximgproc::DTF_RF, cv::ximgproc::GUIDED_FILTER, cv::ximgproc::AM_FILTER }

Functions
void	cv::ximgproc::amFilter (InputArray joint, InputArray src, OutputArray dst, double sigma_s, double sigma_r, bool adjust_outliers=false)
	Simple one-line Adaptive Manifold Filter call. More...

Ptr< AdaptiveManifoldFilter >	cv::ximgproc::createAMFilter (double sigma_s, double sigma_r, bool adjust_outliers=false)
	Factory method, create instance of AdaptiveManifoldFilter and produce some initialization routines. More...

Ptr< DTFilter >	cv::ximgproc::createDTFilter (InputArray guide, double sigmaSpatial, double sigmaColor, int mode=DTF_NC, int numIters=3)
	Factory method, create instance of DTFilter and produce initialization routines. More...

Ptr< GuidedFilter >	cv::ximgproc::createGuidedFilter (InputArray guide, int radius, double eps)
	Factory method, create instance of GuidedFilter and produce initialization routines. More...

void	cv::ximgproc::dtFilter (InputArray guide, InputArray src, OutputArray dst, double sigmaSpatial, double sigmaColor, int mode=DTF_NC, int numIters=3)
	Simple one-line Domain Transform filter call. If you have multiple images to filter with the same guided image then use DTFilter interface to avoid extra computations on initialization stage. More...

void	cv::ximgproc::guidedFilter (InputArray guide, InputArray src, OutputArray dst, int radius, double eps, int dDepth=-1)
	Simple one-line Guided Filter call. More...

void	cv::ximgproc::jointBilateralFilter (InputArray joint, InputArray src, OutputArray dst, int d, double sigmaColor, double sigmaSpace, int borderType=BORDER_DEFAULT)
	Applies the joint bilateral filter to an image. More...

Detailed Description

Enumeration Type Documentation

enum cv::ximgproc::EdgeAwareFiltersList

Enumerator
DTF_NC
DTF_IC
DTF_RF
GUIDED_FILTER
AM_FILTER

Function Documentation

void cv::ximgproc::amFilter	(	InputArray	joint,
		InputArray	src,
		OutputArray	dst,
		double	sigma_s,
		double	sigma_r,
		bool	adjust_outliers = `false`
	)

Simple one-line Adaptive Manifold Filter call.

Parameters

joint	joint (also called as guided) image or array of images with any numbers of channels.
src	filtering image with any numbers of channels.
dst	output image.
sigma_s	spatial standard deviation.
sigma_r	color space standard deviation, it is similar to the sigma in the color space into bilateralFilter.
adjust_outliers	optional, specify perform outliers adjust operation or not, (Eq. 9) in the original paper.

Note: Joint images with CV_8U and CV_16U depth converted to images with CV_32F depth and [0; 1] color range before processing. Hence color space sigma sigma_r must be in [0; 1] range, unlike same sigmas in bilateralFilter and dtFilter functions.

See also: bilateralFilter, dtFilter, guidedFilter

Ptr<AdaptiveManifoldFilter> cv::ximgproc::createAMFilter	(	double	sigma_s,
		double	sigma_r,
		bool	adjust_outliers = `false`
	)

Factory method, create instance of AdaptiveManifoldFilter and produce some initialization routines.

Parameters

sigma_s	spatial standard deviation.
sigma_r	color space standard deviation, it is similar to the sigma in the color space into bilateralFilter.
adjust_outliers	optional, specify perform outliers adjust operation or not, (Eq. 9) in the original paper.

For more details about Adaptive Manifold Filter parameters, see the original article [50] .

Note: Joint images with CV_8U and CV_16U depth converted to images with CV_32F depth and [0; 1] color range before processing. Hence color space sigma sigma_r must be in [0; 1] range, unlike same sigmas in bilateralFilter and dtFilter functions.

Ptr<DTFilter> cv::ximgproc::createDTFilter	(	InputArray	guide,
		double	sigmaSpatial,
		double	sigmaColor,
		int	mode = `DTF_NC`,
		int	numIters = `3`
	)

Factory method, create instance of DTFilter and produce initialization routines.

Parameters

guide	guided image (used to build transformed distance, which describes edge structure of guided image).
sigmaSpatial	\({\sigma}_H\) parameter in the original article, it's similar to the sigma in the coordinate space into bilateralFilter.
sigmaColor	\({\sigma}_r\) parameter in the original article, it's similar to the sigma in the color space into bilateralFilter.
mode	one form three modes DTF_NC, DTF_RF and DTF_IC which corresponds to three modes for filtering 2D signals in the article.
numIters	optional number of iterations used for filtering, 3 is quite enough.

For more details about Domain Transform filter parameters, see the original article [49] and Domain Transform filter homepage.

Ptr<GuidedFilter> cv::ximgproc::createGuidedFilter	(	InputArray	guide,
		int	radius,
		double	eps
	)

Factory method, create instance of GuidedFilter and produce initialization routines.

Parameters

guide	guided image (or array of images) with up to 3 channels, if it have more then 3 channels then only first 3 channels will be used.
radius	radius of Guided Filter.
eps	regularization term of Guided Filter. \({eps}^2\) is similar to the sigma in the color space into bilateralFilter.

For more details about Guided Filter parameters, see the original article [59] .

void cv::ximgproc::dtFilter	(	InputArray	guide,
		InputArray	src,
		OutputArray	dst,
		double	sigmaSpatial,
		double	sigmaColor,
		int	mode = `DTF_NC`,
		int	numIters = `3`
	)

Simple one-line Domain Transform filter call. If you have multiple images to filter with the same guided image then use DTFilter interface to avoid extra computations on initialization stage.

Parameters

guide	guided image (also called as joint image) with unsigned 8-bit or floating-point 32-bit depth and up to 4 channels.
src	filtering image with unsigned 8-bit or floating-point 32-bit depth and up to 4 channels.
dst
sigmaSpatial	\({\sigma}_H\) parameter in the original article, it's similar to the sigma in the coordinate space into bilateralFilter.
sigmaColor	\({\sigma}_r\) parameter in the original article, it's similar to the sigma in the color space into bilateralFilter.
mode	one form three modes DTF_NC, DTF_RF and DTF_IC which corresponds to three modes for filtering 2D signals in the article.
numIters	optional number of iterations used for filtering, 3 is quite enough.

See also: bilateralFilter, guidedFilter, amFilter

void cv::ximgproc::guidedFilter	(	InputArray	guide,
		InputArray	src,
		OutputArray	dst,
		int	radius,
		double	eps,
		int	dDepth = `-1`
	)

Simple one-line Guided Filter call.

If you have multiple images to filter with the same guided image then use GuidedFilter interface to avoid extra computations on initialization stage.

Parameters

guide	guided image (or array of images) with up to 3 channels, if it have more then 3 channels then only first 3 channels will be used.
src	filtering image with any numbers of channels.
dst	output image.
radius	radius of Guided Filter.
eps	regularization term of Guided Filter. \({eps}^2\) is similar to the sigma in the color space into bilateralFilter.
dDepth	optional depth of the output image.

See also: bilateralFilter, dtFilter, amFilter

void cv::ximgproc::jointBilateralFilter	(	InputArray	joint,
		InputArray	src,
		OutputArray	dst,
		int	d,
		double	sigmaColor,
		double	sigmaSpace,
		int	borderType = `BORDER_DEFAULT`
	)

Applies the joint bilateral filter to an image.

Parameters

joint	Joint 8-bit or floating-point, 1-channel or 3-channel image.
src	Source 8-bit or floating-point, 1-channel or 3-channel image with the same depth as joint image.
dst	Destination image of the same size and type as src .
d	Diameter of each pixel neighborhood that is used during filtering. If it is non-positive, it is computed from sigmaSpace .
sigmaColor	Filter sigma in the color space. A larger value of the parameter means that farther colors within the pixel neighborhood (see sigmaSpace ) will be mixed together, resulting in larger areas of semi-equal color.
sigmaSpace	Filter sigma in the coordinate space. A larger value of the parameter means that farther pixels will influence each other as long as their colors are close enough (see sigmaColor ). When d>0 , it specifies the neighborhood size regardless of sigmaSpace . Otherwise, d is proportional to sigmaSpace .
borderType

Note: bilateralFilter and jointBilateralFilter use L1 norm to compute difference between colors.

See also: bilateralFilter, amFilter

Classes

Enumerations

Functions

Detailed Description

Enumeration Type Documentation

Function Documentation