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 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 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.
Original language | English |
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Title of host publication | IEEE International Conference on Fuzzy Systems |
Pages | 562-565 |
Number of pages | 4 |
Publication status | Published - 1 Dec 2001 |
Event | 10th IEEE International Conference on Fuzzy Systems - Melbourne, Australia Duration: 2 Dec 2001 → 5 Dec 2001 |
Conference
Conference | 10th IEEE International Conference on Fuzzy Systems |
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Country/Territory | Australia |
City | Melbourne |
Period | 2/12/01 → 5/12/01 |
Keywords
- Fuzzy integrals
- Image metrics
- Image quality assessment
ASJC Scopus subject areas
- Software
- Theoretical Computer Science
- Artificial Intelligence
- Applied Mathematics