Class cv::MergeMertens#

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

#include <opencv2/photo.hpp>

Collaboration diagram for cv::MergeMertens:

Public Member Functions#

Public Member Functions inherited from cv::MergeExposures

Return	Name	Description
`void`	`process(` `InputArrayOfArrays src,` `OutputArray dst,` `InputArray times,` `InputArray response )`	Merges images.

Public Member Functions inherited from cv::Algorithm

Return	Name	Description
	`Algorithm()`
	`~Algorithm()`
`void`	`clear()`	Clears the algorithm state.
`bool`	`empty()`	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
`String`	`getDefaultName()`
`void`	`read(const FileNode & fn)`	Reads algorithm parameters from a file storage.
`void`	`save(const String & filename)`
`void`	`write(` `const Ptr< FileStorage > & fs,` `const String & name = String() )`
`void`	`write(FileStorage & fs)`	Stores algorithm parameters in a file storage.
`void`	`write(` `FileStorage & fs,` `const String & name )`

Static Public Member Functions#

Static Public Member Functions inherited from cv::Algorithm

Return	Name	Description
`static Ptr< _Tp >`	`load(` `const String & filename,` `const String & objname = String() )`	Loads algorithm from the file.
`static Ptr< _Tp >`	`loadFromString(` `const String & strModel,` `const String & objname = String() )`	Loads algorithm from a String.
`static Ptr< _Tp >`	`read(const FileNode & fn)`	Reads algorithm from the file node.

Additional Inherited Members#

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 see MK07 .

Member Function Documentation#

getContrastWeight()#

float cv::MergeMertens::getContrastWeight()

Python:

cv.MergeMertens.getContrastWeight() -> retval

getExposureWeight()#

float cv::MergeMertens::getExposureWeight()

Python:

cv.MergeMertens.getExposureWeight() -> retval

getSaturationWeight()#

float cv::MergeMertens::getSaturationWeight()

Python:

cv.MergeMertens.getSaturationWeight() -> retval

process()#

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

Python:

cv.MergeMertens.process(src, times, response[, dst]) -> dst

cv.MergeMertens.process(src[, dst]) -> dst

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

Parameters

src — vector of input images
dst — result image

process()#

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

Python:

cv.MergeMertens.process(src, times, response[, dst]) -> dst

cv.MergeMertens.process(src[, dst]) -> 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.

setContrastWeight()#

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

Python:

cv.MergeMertens.setContrastWeight(contrast_weiht)

setExposureWeight()#

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

Python:

cv.MergeMertens.setExposureWeight(exposure_weight)

setSaturationWeight()#

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

Python:

cv.MergeMertens.setSaturationWeight(saturation_weight)

Source file#

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

opencv2/photo.hpp