“…Given an image, IQA systems are designed to automatically estimate the quality score. Existing IQA methods can be classified into three major categories: full-reference image quality assessment (FR-IQA) algorithms, e.g., [ 1 , 2 , 3 , 4 , 5 , 6 , 7 ], reduced-reference image quality assessment (RR-IQA) algorithms, e.g., [ 8 , 9 , 10 , 11 ], and no-reference/blind image quality assessment (NR-IQA) algorithms, e.g., [ 12 , 13 , 14 , 15 , 16 ]. FR-IQA methods compare the distorted image with respect to the reference image in order to predict a quality score, and because of that, they requires both the original image alongside the corrupted one.…”