Efficient Algorithm for Isotropic and Anisotropic Total Variation Deblurring and Denoising

A new deblurring and denoising algorithm is proposed, for isotropic total variation-based image restoration. The algorithm consists of an efficient solver for the nonlinear system and an acceleration strategy for the outer iteration. For the nonlinear system, the split Bregman method is used to conv...

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Main Authors: Yuying Shi, Qianshun Chang
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2013/797239
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author Yuying Shi
Qianshun Chang
author_facet Yuying Shi
Qianshun Chang
author_sort Yuying Shi
collection DOAJ
description A new deblurring and denoising algorithm is proposed, for isotropic total variation-based image restoration. The algorithm consists of an efficient solver for the nonlinear system and an acceleration strategy for the outer iteration. For the nonlinear system, the split Bregman method is used to convert it into linear system, and an algebraic multigrid method is applied to solve the linearized system. For the outer iteration, we have conducted formal convergence analysis to determine an auxiliary linear term that significantly stabilizes and accelerates the outer iteration. Numerical experiments demonstrate that our algorithm for deblurring and denoising problems is efficient.
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institution Kabale University
issn 1110-757X
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language English
publishDate 2013-01-01
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spelling doaj-art-c5430189f09940b191e33ef61b15d41b2025-02-03T05:47:52ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/797239797239Efficient Algorithm for Isotropic and Anisotropic Total Variation Deblurring and DenoisingYuying Shi0Qianshun Chang1Department of Mathematics and Physics, North China Electric Power University, Beijing 102206, ChinaInstitute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, ChinaA new deblurring and denoising algorithm is proposed, for isotropic total variation-based image restoration. The algorithm consists of an efficient solver for the nonlinear system and an acceleration strategy for the outer iteration. For the nonlinear system, the split Bregman method is used to convert it into linear system, and an algebraic multigrid method is applied to solve the linearized system. For the outer iteration, we have conducted formal convergence analysis to determine an auxiliary linear term that significantly stabilizes and accelerates the outer iteration. Numerical experiments demonstrate that our algorithm for deblurring and denoising problems is efficient.http://dx.doi.org/10.1155/2013/797239
spellingShingle Yuying Shi
Qianshun Chang
Efficient Algorithm for Isotropic and Anisotropic Total Variation Deblurring and Denoising
Journal of Applied Mathematics
title Efficient Algorithm for Isotropic and Anisotropic Total Variation Deblurring and Denoising
title_full Efficient Algorithm for Isotropic and Anisotropic Total Variation Deblurring and Denoising
title_fullStr Efficient Algorithm for Isotropic and Anisotropic Total Variation Deblurring and Denoising
title_full_unstemmed Efficient Algorithm for Isotropic and Anisotropic Total Variation Deblurring and Denoising
title_short Efficient Algorithm for Isotropic and Anisotropic Total Variation Deblurring and Denoising
title_sort efficient algorithm for isotropic and anisotropic total variation deblurring and denoising
url http://dx.doi.org/10.1155/2013/797239
work_keys_str_mv AT yuyingshi efficientalgorithmforisotropicandanisotropictotalvariationdeblurringanddenoising
AT qianshunchang efficientalgorithmforisotropicandanisotropictotalvariationdeblurringanddenoising