An Image Quality Assessment Using Mean-Centered Weber Ratio and Saliency Map

Soyoung CHUNG  Min Gyo CHUNG  

IEICE TRANSACTIONS on Information and Systems   Vol.E99-D   No.1   pp.138-140
Publication Date: 2016/01/01
Publicized: 2015/10/21
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2015MUL0001
Type of Manuscript: Special Section LETTER (Special Section on Enriched Multimedia---Creation of a New Society through Value-added Multimedia Content---)
image quality assessment,  Weber's law,  saliency map,  image enhancement,  human visual perception,  

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Chen proposed an image quality assessment method to evaluate image quality at a ratio of noise in an image. However, Chen's method had some drawbacks that unnoticeable noise is reflected in the evaluation or noise position is not accurately detected. Therefore, in this paper, we propose a new image quality measurement scheme using the mean-centered WLNI (Weber's Law Noise Identifier) and the saliency map. The experimental results show that the proposed method outperforms Chen's and agrees more consistently with human visual judgment.