Sparse coding for image denoising using spike and slab prior

doi:10.1016/j.neucom.2012.09.014

OPT OpenIR > 光谱成像技术研究室

	Sparse coding for image denoising using spike and slab prior
	Lu, Xiaoqiang; Yuan, Yuan; Yan, Pingkun
	2013-04-15
发表期刊	NEUROCOMPUTING
卷号	106 页码:12-20
摘要	Sparse coding is a challenging and promising theme in image denoising. Its main goal is to learn a sparse representation from an over-complete dictionary. How to obtain a better sparse representation from the dictionary is important for the denoising process. In this paper, starting from the classic image denoising problem, a Bayesian-based sparse coding algorithm is proposed, which learns sparse representation with the spike and slab prior. Using the spike and slab prior, the proposed algorithm can achieve accurate prediction performance and effectively enforce sparsity. Experimental results on image denoising have demonstrated that the proposed algorithm can provide better representation and obtain excellent denoising performance. (c) 2012 Elsevier B.V. All rights reserved.
文章类型	Article
关键词	Image Denoising Sparse Representation Spike And Slab Prior
WOS标题词	Science & Technology ; Technology
DOI	10.1016/j.neucom.2012.09.014
收录类别	SCI ; EI
关键词[WOS]	LEARNED DICTIONARIES ; VARIABLE SELECTION ; REGRESSION ; RECONSTRUCTION ; ALGORITHMS ; DOMAIN
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000317156200002
引用统计	被引频次：34[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/181661/23478
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 710119, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Lu, Xiaoqiang,Yuan, Yuan,Yan, Pingkun. Sparse coding for image denoising using spike and slab prior[J]. NEUROCOMPUTING,2013,106:12-20.
APA	Lu, Xiaoqiang,Yuan, Yuan,&Yan, Pingkun.(2013).Sparse coding for image denoising using spike and slab prior.NEUROCOMPUTING,106,12-20.
MLA	Lu, Xiaoqiang,et al."Sparse coding for image denoising using spike and slab prior".NEUROCOMPUTING 106(2013):12-20.

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