cv::MergeRobertson Class Reference

The resulting HDR image is calculated as weighted average of the exposures considering exposure values and camera response. More...

#include <opencv2/photo.hpp>

Inheritance diagram for cv::MergeRobertson:

Public Member Functions
virtual void	process (InputArrayOfArrays src, OutputArray dst, InputArray times, InputArray response) CV_OVERRIDE=0
	Merges images.
virtual void	process (InputArrayOfArrays src, OutputArray dst, InputArray times)=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

The resulting HDR image is calculated as weighted average of the exposures considering exposure values and camera response.

For more information seeRB99 .

Member Function Documentation

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

pure virtual

Python:
	dst	=	cv.MergeRobertson.process(	src, times, response[, dst]	)
	dst	=	cv.MergeRobertson.process(	src, times[, 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::MergeRobertson::process ( InputArrayOfArrays  src, OutputArray  dst, InputArray  times  )

pure virtual

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

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

• photo.hpp