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Acceleration methods for total variation-based image denoising
Chang, QS; Chern, IL
2003
Source PublicationSIAM JOURNAL ON SCIENTIFIC COMPUTING
ISSN1064-8275
Volume25Issue:3Pages:982-994
AbstractIn 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.
Keywordimage denoising total variation fixed point method algebraic multigrid method Krylov acceleration
DOI10.1137/S106482750241534X
Language英语
WOS Research AreaMathematics
WOS SubjectMathematics, Applied
WOS IDWOS:000187149000011
PublisherSIAM PUBLICATIONS
Citation statistics
Cited Times:36[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/18155
Collection中国科学院数学与系统科学研究院
Affiliation1.Chinese Acad Sci, Inst Appl Math, Acad Math & Syst Sci, Beijing, Peoples R China
2.Natl Taiwan Univ, Dept Math, Taipei 10764, Taiwan
Recommended Citation
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.
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