Sparse representation for blind image quality assessment

OPT OpenIR > 光谱成像技术研究室

	Sparse representation for blind image quality assessment
	He, Lihuo; Tao, Dacheng; Li, Xuelong; Gao, Xinbo
	2012
会议名称	2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012
会议录名称	2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012
页码	1146-1153
会议日期	June 16, 2012 - June 21, 2012
会议地点	Providence, RI, United states
出版地	United States
出版者	IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States
产权排序	3
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.
作者部门	光学影像分析与学习中心
收录类别	CPCI（ISTP） ; EI
ISBN号	9781467312264
语种	英语
ISSN号	10636919
文献类型	会议论文
条目标识符	http://ir.opt.ac.cn/handle/181661/20542
专题	光谱成像技术研究室
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]. United States:IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States,2012:1146-1153.

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