[−][src]Trait opencv::quality::prelude::QualityBRISQUETrait

pub trait QualityBRISQUETrait: QualityBase {
    pub fn as_raw_QualityBRISQUE(&self) -> *const c_void;

    pub fn as_raw_mut_QualityBRISQUE(&mut self) -> *mut c_void;

    pub fn compute(&mut self, img: &dyn ToInputArray) -> Result<Scalar> { ... }
}

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.

Required methods

pub fn as_raw_QualityBRISQUE(&self) -> *const c_void[src]

pub fn as_raw_mut_QualityBRISQUE(&mut self) -> *mut c_void[src]

Loading content...

Provided methods

pub fn compute(&mut self, img: &dyn ToInputArray) -> Result<Scalar>[src]

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)

Loading content...

Implementors

impl QualityBRISQUETrait for QualityBRISQUE[src]

impl QualityBRISQUETrait for PtrOfQualityBRISQUE[src]

Loading content...