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Nowadays, it is evident that we must consider human perceptual properties to visualize information clearly and efficiently. We may utilize computational models of human visual systems to consider human perception well. Image quality assessment is a challenging task that is traditionally approached by such computational models. Recently, a new assessment methodology based on structural similarity has been proposed. In this paper we select two representative models of each group, the Visibledoi:10.1109/iv.2004.1320193 dblp:conf/iv/CadikS04 fatcat:valqw42qqfeqxkzlqsujj4p2tu