Comparison of two image quality models
Bei Li, Gary W. Meyer, R. Victor Klassen · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1998
In recent years a number of different 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 first summarize the work that has been done in image quality modeling. We then select two of the leading image quality models, the Daly Visible Differences Predictor and the Sarnoff 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 differences 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.