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

doi:10.1016/j.jvcir.2012.02.003

OPT OpenIR > 光谱成像技术研究室

	Greedy regression in sparse coding space for single-image super-resolution
	Tang, Yi; Yuan, Yuan; Yan, Pingkun; Li, Xuelong
	2013-02-01
发表期刊	JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
卷号	24 期号:2 页码:148-159
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.
文章类型	Article
关键词	Image Quality Improvement Super-resolution Sparsity Nonlinear Coding Machine Learning Empirical Risk Minimization Greedy Regression L-2-boosting
WOS标题词	Science & Technology ; Technology
DOI	10.1016/j.jvcir.2012.02.003
收录类别	SCI ; EI
关键词[WOS]	INTERPOLATION ; RESOLUTION ; ALGORITHM
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering
WOS记录号	WOS:000314859000008
引用统计	被引频次：39[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.opt.ac.cn/handle/181661/23172
专题	光谱成像技术研究室
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.

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