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A Fast High-Order Total Variation Minimization Method for Multiplicative Noise Removal
Joint Authors
Jiang, Le
Liu, Jun
Lv, Xiao-Guang
Huang, Jin
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-10
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Multiplicative noise removal problem has received considerable attention in recent years.
The total variation regularization method for the solution of the noise removal problem can preserve edges well but has the sometimes undesirable staircase effect.
In this paper, we propose a fast high-order total variation minimization method to restore multiplicative noisy images.
The proposed method is able to preserve edges and at the same time avoid the staircase effect in the smooth regions.
An alternating minimization algorithm is employed to solve the proposed high-order total variation minimization problem.
We discuss the convergence of the alternating minimization algorithm.
Some numerical results show that the proposed method gives restored images of higher quality than some existing multiplicative noise removal methods.
American Psychological Association (APA)
Lv, Xiao-Guang& Jiang, Le& Huang, Jin& Liu, Jun. 2013. A Fast High-Order Total Variation Minimization Method for Multiplicative Noise Removal. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1010893
Modern Language Association (MLA)
Lv, Xiao-Guang…[et al.]. A Fast High-Order Total Variation Minimization Method for Multiplicative Noise Removal. Mathematical Problems in Engineering No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-1010893
American Medical Association (AMA)
Lv, Xiao-Guang& Jiang, Le& Huang, Jin& Liu, Jun. A Fast High-Order Total Variation Minimization Method for Multiplicative Noise Removal. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1010893
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010893