Image quality assessment based on edge-region information and distorted pixel for JPEG and JPEG2000

Abstract

The main objective of image quality assessment metrics is to provide an automatic and efficient system to evaluate visual quality. It is imperative that these measures exhibit good correlation with perception by the human visual system (HVS). This paper proposes a new algorithm for image quality assessment, which supplies more flexibility than previous methods in using the distorted pixel in the assessment. First, the distorted and original images are divided into blocks of 11×11 pixels, and secondly, we calculate distorted pixels then visual regions of interest and edge information are computed which can be used to compute the global error. Experimental comparisons demonstrate the effectiveness of the proposed method. © 2009 Springer Berlin Heidelberg.