Class QualityBRISQUE

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. @cite Mittal2 for original paper and original implementation @cite Mittal2_software. A trained model is provided in the /samples/ directory and is trained on the LIVE-R2 database @cite Sheikh as in the original implementation. When evaluated against the TID2008 database @cite Ponomarenko, 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.

Inheritance
System.Object
DisposableObject
DisposableCvObject
Algorithm
QualityBase
QualityBRISQUE
Implements
Inherited Members
Namespace: OpenCvSharp.Quality
Assembly: OpenCvSharp.dll
Syntax
public class QualityBRISQUE : QualityBase, ICvPtrHolder

Constructors

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QualityBRISQUE(IntPtr)

Creates instance by raw pointer

Declaration
protected QualityBRISQUE(IntPtr p)
Parameters
Type Name Description
IntPtr p

Methods

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Compute(InputArray, String, String)

static method for computing quality

Declaration
public static Scalar Compute(InputArray img, string modelFilePath, string rangeFilePath)
Parameters
Type Name Description
InputArray img

image for which to compute quality
System.String modelFilePath

String which contains a path to the BRISQUE model data, eg. /path/to/brisque_model_live.yml
System.String rangeFilePath

cv::String which contains a path to the BRISQUE range data, eg. /path/to/brisque_range_live.yml
Returns
Type Description
OpenCvSharp.Scalar

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

static method for computing image features used by the BRISQUE algorithm

Declaration
public static void ComputeFeatures(InputArray img, OutputArray features)
Parameters
Type Name Description
InputArray img

image (BGR(A) or grayscale) for which to compute features
OutputArray features

output row vector of features to cv::Mat or cv::UMat
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Create(SVM, Mat)

Create an object which calculates quality

Declaration
public static QualityBRISQUE Create(SVM model, Mat range)
Parameters
Type Name Description
SVM model

cv::ml::SVM* which contains a loaded BRISQUE model
Mat range

cv::Mat which contains BRISQUE range data
Returns
Type Description
QualityBRISQUE
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Create(String, String)

Create an object which calculates quality

Declaration
public static QualityBRISQUE Create(string modelFilePath, string rangeFilePath)
Parameters
Type Name Description
System.String modelFilePath

String which contains a path to the BRISQUE model data, eg. /path/to/brisque_model_live.yml
System.String rangeFilePath

String which contains a path to the BRISQUE range data, eg. /path/to/brisque_range_live.yml
Returns
Type Description
QualityBRISQUE
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DisposeManaged()

Releases managed resources

Declaration
protected override void DisposeManaged()
Overrides
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DisposeUnmanaged()

Declaration
protected override void DisposeUnmanaged()
Overrides
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Get()

Declaration
public override IntPtr Get()
Returns
Type Description
IntPtr

Implements