Fast Total-Variation Image Deconvolution with Adaptive Parameter Estimation via Split Bregman Method
Joint Authors
Hu, Changhua
Zhang, Wei
Hu, Xiaoxiang
Shi, Biao
He, Chuan
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-17
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The total-variation (TV) regularization has been widely used in image restoration domain, due to its attractive edge preservation ability.
However, the estimation of the regularization parameter, which balances the TV regularization term and the data-fidelity term, is a difficult problem.
In this paper, based on the classical split Bregman method, a new fast algorithm is derived to simultaneously estimate the regularization parameter and to restore the blurred image.
In each iteration, the regularization parameter is refreshed conveniently in a closed form according to Morozov’s discrepancy principle.
Numerical experiments in image deconvolution show that the proposed algorithm outperforms some state-of-the-art methods both in accuracy and in speed.
American Psychological Association (APA)
He, Chuan& Hu, Changhua& Zhang, Wei& Shi, Biao& Hu, Xiaoxiang. 2014. Fast Total-Variation Image Deconvolution with Adaptive Parameter Estimation via Split Bregman Method. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-485442
Modern Language Association (MLA)
He, Chuan…[et al.]. Fast Total-Variation Image Deconvolution with Adaptive Parameter Estimation via Split Bregman Method. Mathematical Problems in Engineering No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-485442
American Medical Association (AMA)
He, Chuan& Hu, Changhua& Zhang, Wei& Shi, Biao& Hu, Xiaoxiang. Fast Total-Variation Image Deconvolution with Adaptive Parameter Estimation via Split Bregman Method. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-485442
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-485442