cv::MergeMertens Class Reference

Pixels are weighted using contrast, saturation and well-exposedness measures, than images are combined using laplacian pyramids. More...

#include <opencv2/photo.hpp>

Inheritance diagram for cv::MergeMertens:

Public Member Functions
virtual float	getContrastWeight () const =0
virtual float	getExposureWeight () const =0
virtual float	getSaturationWeight () const =0
virtual void	process (InputArrayOfArrays src, OutputArray dst, InputArray times, InputArray response) CV_OVERRIDE=0
	Merges images.
virtual void	process (InputArrayOfArrays src, OutputArray dst)=0
	Short version of process, that doesn't take extra arguments.
virtual void	setContrastWeight (float contrast_weiht)=0
virtual void	setExposureWeight (float exposure_weight)=0
virtual void	setSaturationWeight (float saturation_weight)=0

Additional Inherited Members
Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file.
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String.
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node.
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Detailed Description

Pixels are weighted using contrast, saturation and well-exposedness measures, than images are combined using laplacian pyramids.

The resulting image weight is constructed as weighted average of contrast, saturation and well-exposedness measures.

The resulting image doesn't require tonemapping and can be converted to 8-bit image by multiplying by 255, but it's recommended to apply gamma correction and/or linear tonemapping.

For more information seeMK07 .

Member Function Documentation

virtual float cv::MergeMertens::getContrastWeight ( ) const

pure virtual

Python:
	retval	=	cv.MergeMertens.getContrastWeight(		)

virtual float cv::MergeMertens::getExposureWeight ( ) const

pure virtual

Python:
	retval	=	cv.MergeMertens.getExposureWeight(		)

virtual float cv::MergeMertens::getSaturationWeight ( ) const

pure virtual

Python:
	retval	=	cv.MergeMertens.getSaturationWeight(		)

virtual void cv::MergeMertens::process ( InputArrayOfArrays  src, OutputArray  dst, InputArray  times, InputArray  response  )

pure virtual

Python:
	dst	=	cv.MergeMertens.process(	src, times, response[, dst]	)
	dst	=	cv.MergeMertens.process(	src[, dst]	)

Merges images.

Parameters

src	vector of input images
dst	result image
times	vector of exposure time values for each image
response	256x1 matrix with inverse camera response function for each pixel value, it should have the same number of channels as images.

Implements cv::MergeExposures.

virtual void cv::MergeMertens::process ( InputArrayOfArrays  src, OutputArray  dst  )

pure virtual

Python:
	dst	=	cv.MergeMertens.process(	src, times, response[, dst]	)
	dst	=	cv.MergeMertens.process(	src[, dst]	)

Short version of process, that doesn't take extra arguments.

Parameters

src	vector of input images
dst	result image

virtual void cv::MergeMertens::setContrastWeight ( float  contrast_weiht )

pure virtual

Python:
	None	=	cv.MergeMertens.setContrastWeight(	contrast_weiht	)

virtual void cv::MergeMertens::setExposureWeight ( float  exposure_weight )

pure virtual

Python:
	None	=	cv.MergeMertens.setExposureWeight(	exposure_weight	)

virtual void cv::MergeMertens::setSaturationWeight ( float  saturation_weight )

pure virtual

Python:
	None	=	cv.MergeMertens.setSaturationWeight(	saturation_weight	)

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The documentation for this class was generated from the following file:

• photo.hpp