A Weberized Total Variation Regularization-Based Image Multiplicative Noise Removal Algorithm

Multiplicative noise removal is of momentous significance in coherent imaging systems and various image processing applications. This paper proposes a new nonconvex variational model for multiplicative noise removal under the Weberized total variation (TV) regularization framework. Then, we propose...

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Main Authors: Zhi-Hui Wei, Li-Li Huang, Liang Xiao
Format: Article
Language:English
Published: SpringerOpen 2010-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2010/490384
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spelling doaj-f3797619a8384eab950b950c59c8a7a32020-11-24T21:41:21ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802010-01-01201010.1155/2010/490384A Weberized Total Variation Regularization-Based Image Multiplicative Noise Removal AlgorithmZhi-Hui WeiLi-Li HuangLiang XiaoMultiplicative noise removal is of momentous significance in coherent imaging systems and various image processing applications. This paper proposes a new nonconvex variational model for multiplicative noise removal under the Weberized total variation (TV) regularization framework. Then, we propose and investigate another surrogate strictly convex objective function for Weberized TV regularization-based multiplicative noise removal model. Finally, we propose and design a novel way of fast alternating optimizing algorithm which contains three subminimizing parts and each of them permits a closed-form solution. Our experimental results show that our algorithm is effective and efficient to filter out multiplicative noise while well preserving the feature details. http://dx.doi.org/10.1155/2010/490384
collection DOAJ
language English
format Article
sources DOAJ
author Zhi-Hui Wei
Li-Li Huang
Liang Xiao
spellingShingle Zhi-Hui Wei
Li-Li Huang
Liang Xiao
A Weberized Total Variation Regularization-Based Image Multiplicative Noise Removal Algorithm
EURASIP Journal on Advances in Signal Processing
author_facet Zhi-Hui Wei
Li-Li Huang
Liang Xiao
author_sort Zhi-Hui Wei
title A Weberized Total Variation Regularization-Based Image Multiplicative Noise Removal Algorithm
title_short A Weberized Total Variation Regularization-Based Image Multiplicative Noise Removal Algorithm
title_full A Weberized Total Variation Regularization-Based Image Multiplicative Noise Removal Algorithm
title_fullStr A Weberized Total Variation Regularization-Based Image Multiplicative Noise Removal Algorithm
title_full_unstemmed A Weberized Total Variation Regularization-Based Image Multiplicative Noise Removal Algorithm
title_sort weberized total variation regularization-based image multiplicative noise removal algorithm
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2010-01-01
description Multiplicative noise removal is of momentous significance in coherent imaging systems and various image processing applications. This paper proposes a new nonconvex variational model for multiplicative noise removal under the Weberized total variation (TV) regularization framework. Then, we propose and investigate another surrogate strictly convex objective function for Weberized TV regularization-based multiplicative noise removal model. Finally, we propose and design a novel way of fast alternating optimizing algorithm which contains three subminimizing parts and each of them permits a closed-form solution. Our experimental results show that our algorithm is effective and efficient to filter out multiplicative noise while well preserving the feature details.
url http://dx.doi.org/10.1155/2010/490384
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AT liangxiao aweberizedtotalvariationregularizationbasedimagemultiplicativenoiseremovalalgorithm
AT zhihuiwei weberizedtotalvariationregularizationbasedimagemultiplicativenoiseremovalalgorithm
AT lilihuang weberizedtotalvariationregularizationbasedimagemultiplicativenoiseremovalalgorithm
AT liangxiao weberizedtotalvariationregularizationbasedimagemultiplicativenoiseremovalalgorithm
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