Blind/referenceless image spatial quality evaluator

We propose a natural scene statistic based Blind/Referenceless Image Spatial QUality Evaluator (BRISQUE) which extracts the point wise statistics of local normalized luminance sig-nals and measures image naturalness (or lack there of) based on measured deviations from a natural image model. We also model the distribution of pairwise statistics of adjacent normalized luminance signals which provides distortion ori-entation information. Although multi scale, the model uses easy to compute features making it computationally fast and time efficient. The frame work is shown to perform statisti-cally better than other proposed no reference algorithms and full reference structural similarity index (SSIM). 1