we develop an efficient BLIINDS-II algorithm using NSS approach in DCT domain for image and video quality assessment with no reference image. The approach relies on a simple Bayesian inference model to predict image and video quality score, after a

The development of general-purpose no-reference approaches to image quality assessment still lags recent advances in full-reference methods. Additionally, most no-reference or blind approaches are distortion-specific, meaning they assess only a spec

Blind image quality assessment: A natural scene statistics approach in the dct domain,BliindsⅡ无参考图像质量评价,源代码存在错误，上传代码已调通，并且附加了demo。