pub struct QualityBRISQUE { /* private fields */ }
Expand 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. Mittal2 for original paper and original implementation Mittal2_software .

A trained model is provided in the /samples/ directory and is trained on the LIVE-R2 database Sheikh as in the original implementation. When evaluated against the TID2008 database 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.

Implementations§

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

Create an object which calculates quality

Parameters
  • model: cv::Ptrcv::ml::SVM which contains a loaded BRISQUE model
  • range: cv::Mat which contains BRISQUE range data

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)

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

Trait Implementations§

Clears the algorithm state
Reads algorithm parameters from a file storage
Stores algorithm parameters in a file storage
Stores algorithm parameters in a file storage Read more
@deprecated Read more
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read
Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).
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.
Wrap the specified raw pointer Read more
Return an the underlying raw pointer while consuming this wrapper. Read more
Return the underlying raw pointer. Read more
Return the underlying mutable raw pointer Read more
Executes the destructor for this type. Read more
Converts to this type from the input type.
Computes BRISQUE quality score for input image Read more
Compute quality score per channel with the per-channel score in each element of the resulting cv::Scalar. See specific algorithm for interpreting result scores Read more
Implements Algorithm::clear()
Returns output quality map that was generated during computation, if supported by the algorithm
Implements Algorithm::empty()

Auto Trait Implementations§

Blanket Implementations§

Gets the TypeId of self. Read more
Immutably borrows from an owned value. Read more
Mutably borrows from an owned value. Read more

Returns the argument unchanged.

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

The type returned in the event of a conversion error.
Performs the conversion.
The type returned in the event of a conversion error.
Performs the conversion.