Acceleration methods for total variation-based image denoising

doi:10.1137/S106482750241534X

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	Acceleration methods for total variation-based image denoising
	Chang, QS ; Chern, IL
	2003
发表期刊	SIAM JOURNAL ON SCIENTIFIC COMPUTING
ISSN	1064-8275
卷号	25 期号:3 页码:982-994
摘要	In this paper, we apply a fixed point method to solve the total variation-based image denoising problem. An algebraic multigrid method is used to solve the corresponding linear equations. Krylov subspace acceleration is adopted to improve convergence in the fixed point iteration. A good initial guess for this outer iteration at finest grid is obtained by combining fixed point iteration and geometric multigrid interpolation successively from the coarsest grid to the. nest grid. Numerical experiments demonstrate that this method is efficient and robust even for images with large noise-to-signal ratios.
关键词	image denoising total variation fixed point method algebraic multigrid method Krylov acceleration
DOI	10.1137/S106482750241534X
语种	英语
WOS研究方向	Mathematics
WOS类目	Mathematics, Applied
WOS记录号	WOS:000187149000011
出版者	SIAM PUBLICATIONS
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/18155
专题	中国科学院数学与系统科学研究院
通讯作者	Chang, QS
作者单位	1.Chinese Acad Sci, Inst Appl Math, Acad Math & Syst Sci, Beijing, Peoples R China 2.Natl Taiwan Univ, Dept Math, Taipei 10764, Taiwan
推荐引用方式 GB/T 7714	Chang, QS,Chern, IL. Acceleration methods for total variation-based image denoising[J]. SIAM JOURNAL ON SCIENTIFIC COMPUTING,2003,25(3):982-994.
APA	Chang, QS,&Chern, IL.(2003).Acceleration methods for total variation-based image denoising.SIAM JOURNAL ON SCIENTIFIC COMPUTING,25(3),982-994.
MLA	Chang, QS,et al."Acceleration methods for total variation-based image denoising".SIAM JOURNAL ON SCIENTIFIC COMPUTING 25.3(2003):982-994.