Split Bregman Iteration Algorithm for Image Deblurring Using Fourth-Order Total Bounded Variation Regularization Model
Joint Authors
Liu, Jun
Lv, Xiao-Guang
Huang, Ting-Zhu
Xu, Yi
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-24
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
We propose a fourth-order total bounded variation regularization model which could reduce undesirable effects effectively.
Based on this model, we introduce an improved split Bregman iteration algorithm to obtain the optimum solution.
The convergence property of our algorithm is provided.
Numerical experiments show the more excellent visual quality of the proposed model compared with the second-order total bounded variation model which is proposed by Liu and Huang (2010).
American Psychological Association (APA)
Xu, Yi& Huang, Ting-Zhu& Liu, Jun& Lv, Xiao-Guang. 2013. Split Bregman Iteration Algorithm for Image Deblurring Using Fourth-Order Total Bounded Variation Regularization Model. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-456361
Modern Language Association (MLA)
Xu, Yi…[et al.]. Split Bregman Iteration Algorithm for Image Deblurring Using Fourth-Order Total Bounded Variation Regularization Model. Journal of Applied Mathematics No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-456361
American Medical Association (AMA)
Xu, Yi& Huang, Ting-Zhu& Liu, Jun& Lv, Xiao-Guang. Split Bregman Iteration Algorithm for Image Deblurring Using Fourth-Order Total Bounded Variation Regularization Model. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-456361
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-456361
