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Bound Alternative Direction Optimization for Image Deblurring
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-12
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper proposes a new method, bound alternative direction method (BADM), to address the ℓp (p∈0,1) minimization problems in image deblurring.
The approach is to first obtain a bound unconstrained problem through bounding the ℓp regularizer by a novel majorizer and then, based on a variable splitting, to reformulate the bound unconstrained problem into a constrained one, which is then addressed via an augmented Lagrangian method.
The proposed algorithm actually combines the reweighted ℓ1 minimization method and the alternating direction method of multiples (ADMM) such that it succeeds in extending the application of ADMM to ℓp minimization problems.
The conducted experimental studies demonstrate the superiority of the proposed algorithm for the synthesis ℓp minimization over the state-of-the-art algorithms for the synthesis ℓ1 minimization on image deblurring.
American Psychological Association (APA)
Zeng, Xiangrong. 2014. Bound Alternative Direction Optimization for Image Deblurring. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-454497
Modern Language Association (MLA)
Zeng, Xiangrong. Bound Alternative Direction Optimization for Image Deblurring. Mathematical Problems in Engineering No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-454497
American Medical Association (AMA)
Zeng, Xiangrong. Bound Alternative Direction Optimization for Image Deblurring. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-454497
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-454497