中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Sparse representation for blind image quality assessment

文献类型:会议论文

作者He, Lihuo ; Tao, Dacheng ; Li, Xuelong ; Gao, Xinbo
出版日期2012
会议名称2012 ieee conference on computer vision and pattern recognition, cvpr 2012
会议日期june 16, 2012 - june 21, 2012
会议地点providence, ri, united states
页码1146-1153
英文摘要blind image quality assessment (biqa) is an important yet difficult task in image processing related applications. existing algorithms for universal biqa learn a mapping from features of an image to the corresponding subjective quality or divide the image into different distortions before mapping. although these algorithms are promising, they face the following problems: 1) they require a large number of samples (pairs of distorted image and its subjective quality) to train a robust mapping; 2) they are sensitive to different datasets; and 3) they have to be retrained when new training samples are available. in this paper, we introduce a simple yet effective algorithm based upon the sparse representation of natural scene statistics (nss) feature. it consists of three key steps: extracting nss features in the wavelet domain, representing features via sparse coding, and weighting differential mean opinion scores by the sparse coding coefficients to obtain the final visual quality values. thorough experiments on standard databases show that the proposed algorithm outperforms representative biqa algorithms and some full-reference metrics.
收录类别CPCI(ISTP) ; EI
产权排序3
会议录2012 ieee conference on computer vision and pattern recognition, cvpr 2012
会议录出版者ieee computer society, 2001 l street n.w., suite 700, washington, dc 20036-4928, united states
会议录出版地united states
语种英语
ISSN号10636919
ISBN号9781467312264
源URL[http://ir.opt.ac.cn/handle/181661/20542]  
专题西安光学精密机械研究所_光学影像学习与分析中心
推荐引用方式
GB/T 7714
He, Lihuo,Tao, Dacheng,Li, Xuelong,et al. Sparse representation for blind image quality assessment[C]. 见:2012 ieee conference on computer vision and pattern recognition, cvpr 2012. providence, ri, united states. june 16, 2012 - june 21, 2012.

入库方式: OAI收割

来源:西安光学精密机械研究所

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