Incorporating Gradient Direction for Assessing Multiple Distortions

Combined Full-Reference Image Quality Metrics for Objective Assessment of Multiply Distorted Images

“…Considering the topic of this paper, the above overview of elementary metrics is limited to the FR algorithms demonstrating a high prediction accuracy for the four considered multiply distorted IQA datasets, obtained without any nonlinear fitting functions (e.g., logistic or polynomial ones). Although a few metrics oriented for the quality assessment of multiply distorted images have been recently proposed, e.g., using gradient detection [41], in some cases, their codes are not publicly available or they belong to the group of "blind" methods, such as the method based on phase congruency [42]. Therefore, the results presented in this paper are focused on the combination of better-known elementary metrics with available codes, originally developed for singly distorted images.…”