A Comparison of Two Image Quality Models

In recent years a number of di erent vision models have been proposed to assist in the evaluation of image quality However there have been few attempts to independently evaluate these models and to make comparisons between them In this paper we rst summarize the work that has been done in image quality modeling We then select two of the leading image quality models the Daly Visible Di erences Predictor and the Sarno Visual Discrimination Model for further study We begin by describing our implementation which was done from the published papers of each of the models We next discuss the similarities and the di erences between the two models The paper ends with a summary of the important advantages of each approach The comparison of these two models is presented in the context of our research interests which are image quality evaluation for both computer imaging and computer graphics tasks The paper includes illustrations drawn from these two areas