中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Nonconvex plus quadratic penalized low-rank and sparse decomposition for noisy image alignment

文献类型:期刊论文

作者Chen XA(陈希爱); Han Z(韩志); Wang Y(王尧); Tang YD(唐延东); Yu HB(于海斌)
刊名Science China Information Sciences
出版日期2016
卷号59期号:5页码:1-13
关键词low-rank decomposition nonconvex relaxation quadratic penalized batch image alignment sparse or nonsparse noise
ISSN号1674-733X
产权排序1
通讯作者韩志
中文摘要This paper proposes a general method for dealing with the problem of recovering the low-rank structure, in which the data can be deformed by some unknown transformations and corrupted by sparse or nonsparse noises. Nonconvex penalization method is used to remedy the drawbacks of existing convex penalization method and a quadratic penalty is further used to better tackle the nonsparse noises in the data. We exploits the local linear approximation (LLA) method for turning the resulting nonconvex penalization problem into a series of weighted convex penalization problems and these subproblems are efficiently solved via the augmented Lagrange multiplier (ALM). Besides comparing with the method of robust alignment by sparse and low-rank decomposition for linearly correlated images (RASL), we also propose a nonconvex penalized lowrank and sparse decomposition (NLSD) model as comparison. Numerical experiments are conducted on both controlled and uncontrolled data to demonstrate the outperformance of the proposed method over RASL and NLSD.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Information Systems
研究领域[WOS]Computer Science
关键词[WOS]VARIABLE SELECTION ; ORACLE PROPERTIES ; CONCAVE ; COMPLETION ; MATRIX ; LASSO
收录类别SCI ; EI ; CSCD
语种英语
WOS记录号WOS:000375885400015
源URL[http://ir.sia.cn/handle/173321/17735]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Chen XA,Han Z,Wang Y,et al. Nonconvex plus quadratic penalized low-rank and sparse decomposition for noisy image alignment[J]. Science China Information Sciences,2016,59(5):1-13.
APA Chen XA,Han Z,Wang Y,Tang YD,&Yu HB.(2016).Nonconvex plus quadratic penalized low-rank and sparse decomposition for noisy image alignment.Science China Information Sciences,59(5),1-13.
MLA Chen XA,et al."Nonconvex plus quadratic penalized low-rank and sparse decomposition for noisy image alignment".Science China Information Sciences 59.5(2016):1-13.

入库方式: OAI收割

来源:沈阳自动化研究所

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