Novel no-reference image blur metric based on block-based discrete cosine transform statistics

被引:10
作者
Han, Yu [1 ]
Xu, Xiaoming [1 ]
Cai, Yunze [1 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200030, Peoples R China
关键词
discrete cosine transform statistics; no-reference image quality assessment; blurred image quality;
D O I
10.1117/1.3420235
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
A new algorithm for no-reference blurred image quality assessment is proposed. This metric is based on block-based discrete cosine transform statistics and linear prediction method. We compare the performance of the proposed method with four blur metrics on three famous databases and our work shows the best results. (C) 2010 Society of Photo-Optical Instrumentation Engineers. [DOI: 10.1117/1.3420235]
引用
收藏
页数:3
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