Greedy regression in sparse coding space for single-image super-resolution

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 光学影像学习与分析中心

	Greedy regression in sparse coding space for single-image super-resolution
	Tang, Yi; Yuan, Yuan; Yan, Pingkun; Li, Xuelong
刊名	journal of visual communication and image representation
	2013-02-01
卷号	24 期号:2 页码:148-159
关键词	Image quality improvement Super-resolution Sparsity Nonlinear coding Machine learning Empirical risk minimization Greedy regression L-2-Boosting
英文摘要	based on the assumption about the sparse representation of natural images and the theory of compressed sensing, very promising results about single-image super-resolution were obtained by an excellent algorithm introduced by yang et al. [45]. however, their success could not be well explained theoretically. the lack of theoretical insight has hindered the further improvement of the algorithm. in this paper, yang's algorithm is revisited in the view of learning theory. according to this point, yang's algorithm can be considered as a linear regression method in a special feature space which is named as sparse coding space by us. in fact, it has been shown that yang's algorithm is a result of optimal linear estimation in sparse coding space. more importantly, our theoretical analysis suggests that yang's algorithm can be improved by using more flexible regression methods than the linear regression method. following the idea, a novel single-image super-resolution algorithm which is designed based on the framework of l-2-boosting is proposed in the paper. the experimental results show the effectiveness of the proposed algorithm by comparing with other methods, which verify our theoretical analysis about yang's algorithm. (c) 2012 elsevier inc. all rights reserved.
WOS标题词	science & technology ; technology
类目[WOS]	computer science, information systems ; computer science, software engineering
研究领域[WOS]	computer science
关键词[WOS]	interpolation ; resolution ; algorithm
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000314859000008
公开日期	2015-06-30
内容类型	期刊论文
源URL	[http://ir.opt.ac.cn/handle/181661/23172]
专题	西安光学精密机械研究所_光学影像学习与分析中心
作者单位	Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Tang, Yi,Yuan, Yuan,Yan, Pingkun,et al. Greedy regression in sparse coding space for single-image super-resolution[J]. journal of visual communication and image representation,2013,24(2):148-159.
APA	Tang, Yi,Yuan, Yuan,Yan, Pingkun,&Li, Xuelong.(2013).Greedy regression in sparse coding space for single-image super-resolution.journal of visual communication and image representation,24(2),148-159.
MLA	Tang, Yi,et al."Greedy regression in sparse coding space for single-image super-resolution".journal of visual communication and image representation 24.2(2013):148-159.