Full-Reference Quality Assessment of Contrast Changed Images Based on Local Linear Model

Abstract

This paper presents a new full-reference method to assess the quality of contrast changed images. In this method, we employ a linear model to describe the relationship between local patches of reference images and contrast changed images. With parameters of this model, three quality measures considering contrast comparison, structure variation, and luminance change are defined. Among them, the first measure produces larger quality scores for higher contrast, which is different from traditional forms of quality measures used in most existing full-reference methods. Experiments on four benchmark databases show that the proposed method is superior to state-of-the-art methods in assessing the quality of contrast changed images.