Base class for Super Resolution algorithms. More...

#include "superres.hpp"

Inheritance diagram for cv::superres::SuperResolution:

Collaboration diagram for cv::superres::SuperResolution:

Public Member Functions
virtual void	clear ()
	Clears the algorithm state. More...

virtual void	collectGarbage ()
	Clear all inner buffers. More...

virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. More...

virtual double	getAlpha () const =0
	Parameter of spacial distribution in Bilateral-TV. More...

virtual int	getBlurKernelSize () const =0
	Gaussian blur kernel size. More...

virtual double	getBlurSigma () const =0
	Gaussian blur sigma. More...

virtual String	getDefaultName () const
	Returns the algorithm string identifier. More...

virtual int	getIterations () const =0
	Iterations count. More...

virtual int	getKernelSize () const =0
	Kernel size of Bilateral-TV filter. More...

virtual double	getLabmda () const =0
	Weight parameter to balance data term and smoothness term. More...

virtual Ptr< cv::superres::DenseOpticalFlowExt >	getOpticalFlow () const =0
	Dense optical flow algorithm. More...

virtual int	getScale () const =0
	Scale factor. More...

virtual double	getTau () const =0
	Asymptotic value of steepest descent method. More...

virtual int	getTemporalAreaRadius () const =0
	Radius of the temporal search area. More...

void	nextFrame (OutputArray frame)
	Process next frame from input and return output result. More...

virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage. More...

void	reset ()

virtual void	save (const String &filename) const
	Saves the algorithm to a file. More...

virtual void	setAlpha (double val)=0
	Parameter of spacial distribution in Bilateral-TV. More...

virtual void	setBlurKernelSize (int val)=0
	Gaussian blur kernel size. More...

virtual void	setBlurSigma (double val)=0
	Gaussian blur sigma. More...

void	setInput (const Ptr< FrameSource > &frameSource)
	Set input frame source for Super Resolution algorithm. More...

virtual void	setIterations (int val)=0
	Iterations count. More...

virtual void	setKernelSize (int val)=0
	Kernel size of Bilateral-TV filter. More...

virtual void	setLabmda (double val)=0
	Weight parameter to balance data term and smoothness term. More...

virtual void	setOpticalFlow (const Ptr< cv::superres::DenseOpticalFlowExt > &val)=0
	Dense optical flow algorithm. More...

virtual void	setScale (int val)=0
	Scale factor. More...

virtual void	setTau (double val)=0
	Asymptotic value of steepest descent method. More...

virtual void	setTemporalAreaRadius (int val)=0
	Radius of the temporal search area. More...

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
	SuperResolution ()

virtual void	initImpl (Ptr< FrameSource > &frameSource)=0

virtual void	processImpl (Ptr< FrameSource > &frameSource, OutputArray output)=0

void	writeFormat (FileStorage &fs) const

Protected Attributes
bool	isUmat_

Detailed Description

Base class for Super Resolution algorithms.

The class is only used to define the common interface for the whole family of Super Resolution algorithms.

Constructor & Destructor Documentation

cv::superres::SuperResolution::SuperResolution ( )

protected

Member Function Documentation

virtual void cv::Algorithm::clear ( )

inlinevirtualinherited

Clears the algorithm state.

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

virtual void cv::superres::SuperResolution::collectGarbage ( )

virtual

Clear all inner buffers.

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 double cv::superres::SuperResolution::getAlpha ( ) const

pure virtual

Parameter of spacial distribution in Bilateral-TV.

See also: setAlpha

virtual int cv::superres::SuperResolution::getBlurKernelSize ( ) const

pure virtual

Gaussian blur kernel size.

See also: setBlurKernelSize

virtual double cv::superres::SuperResolution::getBlurSigma ( ) const

pure virtual

Gaussian blur sigma.

See also: setBlurSigma

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 int cv::superres::SuperResolution::getIterations ( ) const

pure virtual

Iterations count.

See also: setIterations

virtual int cv::superres::SuperResolution::getKernelSize ( ) const

pure virtual

Kernel size of Bilateral-TV filter.

See also: setKernelSize

virtual double cv::superres::SuperResolution::getLabmda ( ) const

pure virtual

Weight parameter to balance data term and smoothness term.

See also: setLabmda

virtual Ptr<cv::superres::DenseOpticalFlowExt> cv::superres::SuperResolution::getOpticalFlow ( ) const

pure virtual

Dense optical flow algorithm.

See also: setOpticalFlow

virtual int cv::superres::SuperResolution::getScale ( ) const

pure virtual

Scale factor.

See also: setScale

virtual double cv::superres::SuperResolution::getTau ( ) const

pure virtual

Asymptotic value of steepest descent method.

See also: setTau

virtual int cv::superres::SuperResolution::getTemporalAreaRadius ( ) const

pure virtual

Radius of the temporal search area.

See also: setTemporalAreaRadius

virtual void cv::superres::SuperResolution::initImpl ( Ptr< FrameSource > & frameSource )

protectedpure 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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void cv::superres::SuperResolution::nextFrame ( OutputArray frame )

virtual

Process next frame from input and return output result.

Parameters

frame Output result

Implements cv::superres::FrameSource.

virtual void cv::superres::SuperResolution::processImpl	(	Ptr< FrameSource > &	frameSource,
		OutputArray	output
	)

protectedpure virtual

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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void cv::superres::SuperResolution::reset ( )

virtual

Implements cv::superres::FrameSource.

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::superres::SuperResolution::setAlpha ( double val )

pure virtual

Parameter of spacial distribution in Bilateral-TV.

See also: getAlpha

virtual void cv::superres::SuperResolution::setBlurKernelSize ( int val )

pure virtual

Gaussian blur kernel size.

See also: getBlurKernelSize

virtual void cv::superres::SuperResolution::setBlurSigma ( double val )

pure virtual

Gaussian blur sigma.

See also: getBlurSigma

void cv::superres::SuperResolution::setInput ( const Ptr< FrameSource > & frameSource )

Set input frame source for Super Resolution algorithm.

Parameters

frameSource Input frame source

virtual void cv::superres::SuperResolution::setIterations ( int val )

pure virtual

Iterations count.

See also: getIterations

virtual void cv::superres::SuperResolution::setKernelSize ( int val )

pure virtual

Kernel size of Bilateral-TV filter.

See also: getKernelSize

virtual void cv::superres::SuperResolution::setLabmda ( double val )

pure virtual

Weight parameter to balance data term and smoothness term.

See also: getLabmda

virtual void cv::superres::SuperResolution::setOpticalFlow ( const Ptr< cv::superres::DenseOpticalFlowExt > & val )

pure virtual

Dense optical flow algorithm.

See also: getOpticalFlow

virtual void cv::superres::SuperResolution::setScale ( int val )

pure virtual

Scale factor.

See also: getScale

virtual void cv::superres::SuperResolution::setTau ( double val )

pure virtual

Asymptotic value of steepest descent method.

See also: getTau

virtual void cv::superres::SuperResolution::setTemporalAreaRadius ( int val )

pure virtual

Radius of the temporal search area.

See also: getTemporalAreaRadius

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

Member Data Documentation

bool cv::superres::SuperResolution::isUmat_

protected

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

superres/include/opencv2/superres.hpp

Public Member Functions

Static Public Member Functions

Protected Member Functions

Protected Attributes

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation