A fuzzy metric for image quality assessment

被引：0
|
作者：
Li, JL [1 ]
Chen, G [1 ]
Chi, ZR [1 ]
机构：
[1] Zhejiang Univ, Inst Sci, Hangzhou 310027, Peoples R China
来源：
10TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3: MEETING THE GRAND CHALLENGE: MACHINES THAT SERVE PEOPLE | 2001年
关键词：
fuzzy integrals; image metrics; image quality assessment;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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 judgement 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.
引用
收藏
页码：562 / 565
页数：4
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