Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/21570
Title: A fuzzy image metric with application to fractal coding
Authors: Li, J
Chen, G
Chi, Z 
Keywords: Fractal coding
Fuzzy integrals
Image metrics
Image quality assessment
Quadtree partition
Issue Date: 2002
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on image processing, 2002, v. 11, no. 6, p. 636-643 How to cite?
Journal: IEEE transactions on image processing 
Abstract: 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 L 2-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 judgment procedure, is closely approximates the subjective mean opinion score (MOS) with a correlation coefficient of about 0.94, as compared to 0.82 obtained using PSNR. Comparing to the L 2-metric, we demonstrate that a better performance can be achieved in fractal coding by using the proposed FIM.
URI: http://hdl.handle.net/10397/21570
ISSN: 1057-7149
EISSN: 1941-0042
DOI: 10.1109/TIP.2002.1014995
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