J. Li, G. Chen, Z. Chi. A Fuzzy Image Metric With Application to Fractal Coding. IEEE Trans. on Image Processing, 11(6):636-643, 2002.
Image quality assessment is an important issue addressed in various image processing applications such as image/video compression and image reconstruction. The peak signal to noise ratio (PSNR) with the L2-metric is commonly used in objective image quality assessment. However, the measure does not agree very well with the human visual perception in many cases. In this paper, a fuzzy image metric (FIM) is defined based on Sugeno's fuzzy integral. This new objective image metric, which is to some extent a proper evaluation from the viewpoint of the judgement proccedure, is closely approximates the subjective mean oppinion score (MOS) with a correlation coefficient of about 0.94 as compared to 0.82 obtained using PSNR. Comparing to the L2-metric, we demonstrate that a better performance can be achieved in fractal coding by using the proposed FIM
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@article{LiCheChi02,
Author = {Li, J. and Chen, G. and Chi, Z.},
Title = {A Fuzzy Image Metric With Application to Fractal Coding},
Journal = {IEEE Trans. on Image Processing},
Volume = {11},
Number = {6},
Pages = {636--643},
Publisher = {},
Year = {2002}
}