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

Soyoung CHUNG, Min Gyo CHUNG

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Summary :

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.

Publication
IEICE TRANSACTIONS on Information 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---)
Category

Authors

Soyoung CHUNG
  Seoul Women's University
Min Gyo CHUNG
  Seoul Women's University

Keyword