OpenCvSharp.Quality Namespace

Quality Base Class

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.

Full reference GMSD algorithm

Full reference mean square error algorithm https://en.wikipedia.org/wiki/Mean_squared_error

Full reference peak signal to noise ratio (PSNR) algorithm https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio

Full reference structural similarity algorithm https://en.wikipedia.org/wiki/Structural_similarity