cv::TonemapDrago Class Reference

Adaptive logarithmic mapping is a fast global tonemapping algorithm that scales the image in logarithmic domain. More...

#include "photo.hpp"

Inheritance diagram for cv::TonemapDrago:

Collaboration diagram for cv::TonemapDrago:

Public Member Functions
virtual void	clear ()
	Clears the algorithm state. More...
virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. More...
virtual float	getBias () const =0
virtual String	getDefaultName () const
	Returns the algorithm string identifier. More...
virtual float	getGamma () const =0
virtual float	getSaturation () const =0
virtual void	process (InputArray src, OutputArray dst)=0
	Tonemaps image. More...
virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage. More...
virtual void	save (const String &filename) const
	Saves the algorithm to a file. More...
virtual void	setBias (float bias)=0
virtual void	setGamma (float gamma)=0
virtual void	setSaturation (float saturation)=0
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage. More...

Static Public Member Functions
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file. More...
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String. More...
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node. More...

Protected Member Functions
void	writeFormat (FileStorage &fs) const

Detailed Description

Adaptive logarithmic mapping is a fast global tonemapping algorithm that scales the image in logarithmic domain.

Since it's a global operator the same function is applied to all the pixels, it is controlled by the bias parameter.

Optional saturation enhancement is possible as described in [24] .

For more information see [19] .

Member Function Documentation

virtual void cv::Algorithm::clear ( )

inlinevirtualinherited

Clears the algorithm state.

Reimplemented in cv::FlannBasedMatcher, cv::DescriptorMatcher, and cv::cuda::DescriptorMatcher.

virtual bool cv::Algorithm::empty ( ) const

inlinevirtualinherited

Returns true if the Algorithm is empty (e.g.

in the very beginning or after unsuccessful read

Reimplemented in cv::DescriptorMatcher, cv::ml::StatModel, cv::Feature2D, cv::BaseCascadeClassifier, and cv::cuda::DescriptorMatcher.

virtual float cv::TonemapDrago::getBias ( ) const

pure virtual

virtual String cv::Algorithm::getDefaultName ( ) const

virtualinherited

Returns the algorithm string identifier.

This string is used as top level xml/yml node tag when the object is saved to a file or string.

virtual float cv::Tonemap::getGamma ( ) const

pure virtualinherited

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

pure virtual

template<typename _Tp >

static Ptr<_Tp> cv::Algorithm::load ( const String &  filename, const String &  objname = String()  )

inlinestaticinherited

Loads algorithm from the file.

Parameters

filename	Name of the file to read.
objname	The optional name of the node to read (if empty, the first top-level node will be used)

This is static template method of Algorithm. It's usage is following (in the case of SVM):

Ptr<SVM> svm = Algorithm::load<SVM>("my_svm_model.xml");

In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn).

References cv::Ptr< T >::empty(), cv::FileNode::empty(), cv::FileStorage::getFirstTopLevelNode(), and cv::FileStorage::READ.

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template<typename _Tp >

static Ptr<_Tp> cv::Algorithm::loadFromString ( const String &  strModel, const String &  objname = String()  )

inlinestaticinherited

Loads algorithm from a String.

Parameters

strModel	The string variable containing the model you want to load.
objname	The optional name of the node to read (if empty, the first top-level node will be used)

This is static template method of Algorithm. It's usage is following (in the case of SVM):

Ptr<SVM> svm = Algorithm::loadFromString<SVM>(myStringModel);

References CV_WRAP, cv::Ptr< T >::empty(), cv::FileNode::empty(), cv::FileStorage::getFirstTopLevelNode(), cv::FileStorage::MEMORY, and cv::FileStorage::READ.

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virtual void cv::Tonemap::process ( InputArray  src, OutputArray  dst  )

pure virtualinherited

Tonemaps image.

Parameters

src	source image - 32-bit 3-channel Mat
dst	destination image - 32-bit 3-channel Mat with values in [0, 1] range

virtual void cv::Algorithm::read ( const FileNode &  fn )

inlinevirtualinherited

Reads algorithm parameters from a file storage.

Reimplemented in cv::FlannBasedMatcher, cv::DescriptorMatcher, and cv::Feature2D.

template<typename _Tp >

static Ptr<_Tp> cv::Algorithm::read ( const FileNode &  fn )

inlinestaticinherited

Reads algorithm from the file node.

This is static template method of Algorithm. It's usage is following (in the case of SVM):

cv::FileStorage fsRead("example.xml", FileStorage::READ);
Ptr<SVM> svm = Algorithm::read<SVM>(fsRead.root());

In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn) and also have static create() method without parameters (or with all the optional parameters)

References cv::Ptr< T >::empty().

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virtual void cv::Algorithm::save ( const String &  filename ) const

virtualinherited

Saves the algorithm to a file.

In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

virtual void cv::TonemapDrago::setBias ( float  bias )

pure virtual

virtual void cv::Tonemap::setGamma ( float  gamma )

pure virtualinherited

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

pure virtual

virtual void cv::Algorithm::write ( FileStorage &  fs ) const

inlinevirtualinherited

Stores algorithm parameters in a file storage.

Reimplemented in cv::FlannBasedMatcher, cv::DescriptorMatcher, and cv::Feature2D.

void cv::Algorithm::writeFormat ( FileStorage &  fs ) const

protectedinherited

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

• photo/include/opencv2/photo.hpp