An image quality assessment method based on perception of structural information
This paper presents a new method to evaluate the quality if distorted images. This method is based on a comparison between the structural information extracted from the distorted image and from the original image. The interest of our method is that it uses reduced references containing perceptual structural information. First, a quick overview of image quality evaluation methods is given. Then the implementation of our human visual system (HVS) model is detailed. At last, results are given for quality evaluation of JPEG and JPEG2000 coded images. They show that our method provides results which are highly correlated with human judgments (mean opinion score). This method has been implemented in an application available on the Internet.