Single image super resolution with high resolution dictionary

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	Single image super resolution with high resolution dictionary
	MuGuangwu; GaoXinbo; ZhangKaibing; LiXuelong; TaoDacheng; Mu Guangwu
	2011
会议名称	2011 18th IEEE International Conference on Image Processing, ICIP 2011
会议录名称	Proceedings - International Conference on Image Processing, ICIP
页码	1141-1144
会议日期	September 11, 2011 - September 14, 2013
会议地点	Brussels, Belgium
出版地	445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States
出版者	IEEE Computer Society
会议主办者	IEEE; IEEE Signal Processing Society
产权排序	2
摘要	Image super resolution (SR) is a technique to estimate or synthesize a high resolution (HR) image from one or several low resolution (LR) images. This paper proposes a novel framework for single image super resolution based on sparse representation with high resolution dictionary. Unlike the previous methods, the training set is constructed from the HR images instead of HR-LR image pairs. Due to this property, there is no need to retrain a new dictionary when the zooming factor changed. Given a testing LR image, the patch-based representation coefficients and the desired image are estimated alternately through the use of dynamic group sparsity, the fidelity term and the non-local means regularization. Experimental results demonstrate the effectiveness of the proposed algorithm.
关键词	Dynamic Group Sparsity Non-local Means Sparse Representation Super Resolution
作者部门	光学影像分析与学习中心
收录类别	EI
ISBN号	9781457713033
语种	英语
文献类型	会议论文
条目标识符	http://ir.opt.ac.cn/handle/181661/20122
专题	空间光学技术研究室
通讯作者	Mu Guangwu
推荐引用方式 GB/T 7714	MuGuangwu,GaoXinbo,ZhangKaibing,et al. Single image super resolution with high resolution dictionary[C]. 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States:IEEE Computer Society,2011:1141-1144.

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