cv::TonemapMantiuk Class Reference

This algorithm transforms image to contrast using gradients on all levels of gaussian pyramid, transforms contrast values to HVS response and scales the response. After this the image is reconstructed from new contrast values. More...

#include <opencv2/photo.hpp>

Collaboration diagram for cv::TonemapMantiuk:

Public Member Functions
virtual float	getSaturation () const =0
virtual float	getScale () const =0
virtual void	setSaturation (float saturation)=0
virtual void	setScale (float scale)=0
Public Member Functions inherited from cv::Tonemap
virtual float	getGamma () const =0
virtual void	process (InputArray src, OutputArray dst)=0
	Tonemaps image.
virtual void	setGamma (float gamma)=0
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	Clears the algorithm state.
virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
virtual String	getDefaultName () const
virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage.
virtual void	save (const String &filename) const
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage.
void	write (FileStorage &fs, const String &name) const

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

This algorithm transforms image to contrast using gradients on all levels of gaussian pyramid, transforms contrast values to HVS response and scales the response. After this the image is reconstructed from new contrast values.

For more information see [182] .

Member Function Documentation

getSaturation()

virtual float cv::TonemapMantiuk::getSaturation ( ) const

pure virtual

Python:
	cv.TonemapMantiuk.getSaturation(		) ->	retval

getScale()

virtual float cv::TonemapMantiuk::getScale ( ) const

pure virtual

Python:
	cv.TonemapMantiuk.getScale(		) ->	retval

setSaturation()

virtual void cv::TonemapMantiuk::setSaturation ( float saturation )

pure virtual

Python:
	cv.TonemapMantiuk.setSaturation(	saturation	) ->	None

setScale()

virtual void cv::TonemapMantiuk::setScale ( float scale )

pure virtual

Python:
	cv.TonemapMantiuk.setScale(	scale	) ->	None

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

• opencv2/photo.hpp