作者
Karen Panetta, Chen Gao, Sos Agaian
发表日期
2013/8
期刊
IEEE transactions on Consumer Electronics
卷号
59
期号
3
页码范围
643-651
出版商
IEEE
简介
No-reference (NR) image quality assessment is essential in evaluating the performance of image enhancement and retrieval algorithms. Much effort has been made in recent years to develop objective NR grayscale and color image quality metrics that correlate with perceived quality evaluations. Unfortunately, only limited success has been achieved and most existing NR quality assessment is feasible only when prior knowledge about the types of image distortion is available. This paper present: a) a new NR contrast based grayscale image contrast measure: Root Mean Enhancement (RME); b) a NR color RME contrast measure CRME which explores the three dimensional contrast relationships of the RGB color channels; c) a NR color quality measure Color Quality Enhancement (CQE) which is based on the linear combination of colorfulness, sharpness and contrast. Computer simulations demonstrate that each …
引用总数
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学术搜索中的文章
K Panetta, C Gao, S Agaian - IEEE transactions on Consumer Electronics, 2013