cv::quality::QualityBRISQUE Class Reference

BRISQUE (Blind/Referenceless Image Spatial Quality Evaluator) is a No Reference Image Quality Assessment (NR-IQA) algorithm. More...

#include <opencv2/quality/qualitybrisque.hpp>

Collaboration diagram for cv::quality::QualityBRISQUE:

Public Member Functions
cv::Scalar	compute (InputArray img) CV_OVERRIDE
	Computes BRISQUE quality score for input image.
Public Member Functions inherited from cv::quality::QualityBase
virtual	~QualityBase ()=default
	Destructor.
void	clear () CV_OVERRIDE
	Implements Algorithm::clear().
bool	empty () const CV_OVERRIDE
	Implements Algorithm::empty().
virtual void	getQualityMap (OutputArray dst) const
	Returns output quality map that was generated during computation, if supported by the algorithm.
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual String	getDefaultName () const
virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage.
virtual void	save (const String &filename) const
void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage.
void	write (FileStorage &fs, const String &name) const

Static Public Member Functions
static cv::Scalar	compute (InputArray img, const cv::String &model_file_path, const cv::String &range_file_path)
	static method for computing quality
static void	computeFeatures (InputArray img, OutputArray features)
	static method for computing image features used by the BRISQUE algorithm
static Ptr< QualityBRISQUE >	create (const cv::Ptr< cv::ml::SVM > &model, const cv::Mat &range)
	Create an object which calculates quality.
static Ptr< QualityBRISQUE >	create (const cv::String &model_file_path, const cv::String &range_file_path)
	Create an object which calculates quality.
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
	QualityBRISQUE (const cv::Ptr< cv::ml::SVM > &model, const cv::Mat &range)
	Internal constructor.
	QualityBRISQUE (const cv::String &model_file_path, const cv::String &range_file_path)
	Internal constructor.
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Protected Attributes
cv::Ptr< cv::ml::SVM >	_model = nullptr
cv::Mat	_range
Protected Attributes inherited from cv::quality::QualityBase
_mat_type	_qualityMap
	Output quality maps if generated by algorithm.

Additional Inherited Members
Protected Types inherited from cv::quality::QualityBase
using	_mat_type = cv::UMat
	internal mat type default

Detailed Description

BRISQUE (Blind/Referenceless Image Spatial Quality Evaluator) is a No Reference Image Quality Assessment (NR-IQA) algorithm.

BRISQUE computes a score based on extracting Natural Scene Statistics (https://en.wikipedia.org/wiki/Scene_statistics) and calculating feature vectors. See Mittal et al. [201] for original paper and original implementation [200] .

A trained model is provided in the /samples/ directory and is trained on the LIVE-R2 database [132] as in the original implementation. When evaluated against the TID2008 database [208] , the SROCC is -0.8424 versus the SROCC of -0.8354 in the original implementation. C++ code for the BRISQUE LIVE-R2 trainer and TID2008 evaluator are also provided in the /samples/ directory.

Constructor & Destructor Documentation

QualityBRISQUE() [1/2]

cv::quality::QualityBRISQUE::QualityBRISQUE ( const cv::String & model_file_path, const cv::String & range_file_path )

protected

Internal constructor.

QualityBRISQUE() [2/2]

cv::quality::QualityBRISQUE::QualityBRISQUE ( const cv::Ptr< cv::ml::SVM > & model, const cv::Mat & range )

inlineprotected

Internal constructor.

Member Function Documentation

compute() [1/2]

cv::Scalar cv::quality::QualityBRISQUE::compute ( InputArray img )

virtual

Python:
	cv.quality.QualityBRISQUE.compute(	img	) ->	retval
	cv.quality.QualityBRISQUE.compute(	img, model_file_path, range_file_path	) ->	retval
	cv.quality.QualityBRISQUE_compute(	img, model_file_path, range_file_path	) ->	retval

Computes BRISQUE quality score for input image.

Parameters

img	Image for which to compute quality

Returns

cv::Scalar with the score in the first element. The score ranges from 0 (best quality) to 100 (worst quality)

Implements cv::quality::QualityBase.

compute() [2/2]

cv::Scalar cv::quality::QualityBRISQUE::compute ( InputArray img, const cv::String & model_file_path, const cv::String & range_file_path )

static

Python:
	cv.quality.QualityBRISQUE.compute(	img	) ->	retval
	cv.quality.QualityBRISQUE.compute(	img, model_file_path, range_file_path	) ->	retval
	cv.quality.QualityBRISQUE_compute(	img, model_file_path, range_file_path	) ->	retval

static method for computing quality

Parameters

img	image for which to compute quality
model_file_path	cv::String which contains a path to the BRISQUE model data, eg. /path/to/brisque_model_live.yml
range_file_path	cv::String which contains a path to the BRISQUE range data, eg. /path/to/brisque_range_live.yml

Returns

cv::Scalar with the score in the first element. The score ranges from 0 (best quality) to 100 (worst quality)

computeFeatures()

void cv::quality::QualityBRISQUE::computeFeatures ( InputArray img, OutputArray features )

static

Python:
	cv.quality.QualityBRISQUE.computeFeatures(	img[, features]	) ->	features
	cv.quality.QualityBRISQUE_computeFeatures(	img[, features]	) ->	features

static method for computing image features used by the BRISQUE algorithm

Parameters

img	image (BGR(A) or grayscale) for which to compute features
features	output row vector of features to cv::Mat or cv::UMat

create() [1/2]

Ptr< QualityBRISQUE > cv::quality::QualityBRISQUE::create ( const cv::Ptr< cv::ml::SVM > & model, const cv::Mat & range )

static

Python:
	cv.quality.QualityBRISQUE.create(	model_file_path, range_file_path	) ->	retval
	cv.quality.QualityBRISQUE.create(	model, range	) ->	retval
	cv.quality.QualityBRISQUE_create(	model_file_path, range_file_path	) ->	retval
	cv.quality.QualityBRISQUE_create(	model, range	) ->	retval

Create an object which calculates quality.

Parameters

model	cv::Ptr<cv::ml::SVM> which contains a loaded BRISQUE model
range	cv::Mat which contains BRISQUE range data

create() [2/2]

Ptr< QualityBRISQUE > cv::quality::QualityBRISQUE::create ( const cv::String & model_file_path, const cv::String & range_file_path )

static

Python:
	cv.quality.QualityBRISQUE.create(	model_file_path, range_file_path	) ->	retval
	cv.quality.QualityBRISQUE.create(	model, range	) ->	retval
	cv.quality.QualityBRISQUE_create(	model_file_path, range_file_path	) ->	retval
	cv.quality.QualityBRISQUE_create(	model, range	) ->	retval

Create an object which calculates quality.

Parameters

model_file_path	cv::String which contains a path to the BRISQUE model data, eg. /path/to/brisque_model_live.yml
range_file_path	cv::String which contains a path to the BRISQUE range data, eg. /path/to/brisque_range_live.yml

Member Data Documentation

_model

cv::Ptr<cv::ml::SVM> cv::quality::QualityBRISQUE::_model = nullptr

protected

_range

cv::Mat cv::quality::QualityBRISQUE::_range

protected

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

• opencv2/quality/qualitybrisque.hpp