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

页码：562 / 565

页数：4

共 6 条

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Miyahara, M
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[5] Sugeno M., 1974, Doctoral Thesis
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