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ASME Press Select Proceedings

International Conference on Software Technology and Engineering (ICSTE 2012)

Editor
Jianhong Zhou
Jianhong Zhou
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ISBN:
9780791860151
No. of Pages:
680
Publisher:
ASME Press
Publication date:
2012

The quality of digital image is rarely perfect and images are usually subject to distortions during acquisition, compression, transmission, processing and reproduction. No-reference (NR) image quality assessment refers to the problem of evaluating the visual quality of an image without any reference. The aim of this paper is to develop a novel NR blur metric (NRBM) for quality evaluation of blurry image. The experimental results indicate that the proposed assessment method gives high correlation with subjective Mean Opinion Score (MOS).

1. Introduction
2. No-Reference Blur Metric
3. Experimental Results of NRBM
4. Conclusion
Acknowledgment
References
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