Learning From Errors in Super-Resolution

doi:10.1109/TCYB.2014.2301732

OPT OpenIR > 光谱成像技术研究室

	Learning From Errors in Super-Resolution
	Tang, Yi 1; Yuan, Yuan2
作者部门	光学影像学习与分析中心
	2014-11-01
发表期刊	IEEE TRANSACTIONS ON CYBERNETICS
ISSN	2168-2267
卷号	44 期号:11 页码:2143-2154
摘要	A novel framework of learning-based super-resolution is proposed by employing the process of learning from the estimation errors. The estimation errors generated by different learning-based super-resolution algorithms are statistically shown to be sparse and uncertain. The sparsity of the estimation errors means most of estimation errors are small enough. The uncertainty of the estimation errors means the location of the pixel with larger estimation error is random. Noticing the prior information about the estimation errors, a nonlinear boosting process of learning from these estimation errors is introduced into the general framework of the learning-based super-resolution. Within the novel framework of super-resolution, a low-rank decomposition technique is used to share the information of different super-resolution estimations and to remove the sparse estimation errors from different learning algorithms or training samples. The experimental results show the effectiveness and the efficiency of the proposed framework in enhancing the performance of different learning-based algorithms.
文章类型	Article
关键词	Boosting Learning-based Super-resolution Low-rank Decomposition Sparsity
WOS标题词	Science & Technology ; Technology
DOI	10.1109/TCYB.2014.2301732
收录类别	SCI ; EI
关键词[WOS]	SINGLE-IMAGE SUPERRESOLUTION ; SUPER RESOLUTION ; DICTIONARY ; REGRESSION ; STABILITY
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号	WOS:000343319700014
引用统计	被引频次：11[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/181661/22372
专题	光谱成像技术研究室
作者单位	1.Yunnan Univ Nationalities, Sch Math & Comp Sci, Kunming 650500, Peoples R China 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr Opt Imagery Anal & Learning, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China
推荐引用方式 GB/T 7714	Tang, Yi,Yuan, Yuan. Learning From Errors in Super-Resolution[J]. IEEE TRANSACTIONS ON CYBERNETICS,2014,44(11):2143-2154.
APA	Tang, Yi,&Yuan, Yuan.(2014).Learning From Errors in Super-Resolution.IEEE TRANSACTIONS ON CYBERNETICS,44(11),2143-2154.
MLA	Tang, Yi,et al."Learning From Errors in Super-Resolution".IEEE TRANSACTIONS ON CYBERNETICS 44.11(2014):2143-2154.

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