Reduced reference image quality assessment based on dual derivative priors

A novel reduced reference image quality assessment method is described. Natural images obey very specific distributions in the gradient domain, where some statistical features of the reference image are extracted and sent to the receiver side. The distortion measure for the distorted image is defined by a comparison of these features. The proposed method is generally aimed at all distortion types. Experimental results show that the method performs well compared with other popular methods.