No-reference image quality assessment algorithm based on Weibull statistics of log-derivatives of natural scenes

A blind/no-reference (NR) image quality assessment (IQA) algorithm based on natural scenes is developed. The proposed algorithm does not need training on databases of human judgments of distorted images or even prior knowledge about expected distortions (as is the case in most general NR IQA algorithms). To measure the image quality, the introduced approach uses a set of novel features in a spatial domain. The devised features are formed using the Weibull statistics of log-derivatives. When testing the proposed algorithm on the LIVE database, experiments showed that it correlates well with subjective opinion scores. In addition, they indicated that the new method has a good performance when compared with the state-of-the-art methods.