High-Order Total Bounded Variation Model and Its Fast Algorithm for Poissonian Image Restoration
Joint Authors
Zhang, Jun
Ma, Mingxi
Wu, Zhaoming
Wu, Zhaoming
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-11
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In this paper, a new model for image restoration under Poisson noise based on a high-order total bounded variation is proposed.
Existence and uniqueness of its solution are proved.
To find the global optimal solution of our strongly convex model, a split Bregman algorithm is introduced.
Furthermore, a rigorous convergence theory of the proposed algorithm is established.
Experimental results are provided to demonstrate the effectiveness and efficiency of the proposed method over the classic total bounded variation-based model.
American Psychological Association (APA)
Zhang, Jun& Ma, Mingxi& Wu, Zhaoming& Wu, Zhaoming. 2019. High-Order Total Bounded Variation Model and Its Fast Algorithm for Poissonian Image Restoration. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1194794
Modern Language Association (MLA)
Zhang, Jun…[et al.]. High-Order Total Bounded Variation Model and Its Fast Algorithm for Poissonian Image Restoration. Mathematical Problems in Engineering No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1194794
American Medical Association (AMA)
Zhang, Jun& Ma, Mingxi& Wu, Zhaoming& Wu, Zhaoming. High-Order Total Bounded Variation Model and Its Fast Algorithm for Poissonian Image Restoration. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1194794
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194794