中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Acceleration methods for total variation-based image denoising

文献类型:期刊论文

作者Chang, QS; Chern, IL
刊名SIAM JOURNAL ON SCIENTIFIC COMPUTING
出版日期2003
卷号25期号:3页码:982-994
关键词image denoising total variation fixed point method algebraic multigrid method Krylov acceleration
ISSN号1064-8275
DOI10.1137/S106482750241534X
英文摘要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.
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000187149000011
出版者SIAM PUBLICATIONS
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/18154]  
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.

入库方式: OAI收割

来源:数学与系统科学研究院

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