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Deblurring by Solving a TVp-Regularized Optimization Problem Using Split Bregman Method
Author
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-12-16
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Image deblurring is formulated as an unconstrained minimization problem, and its penalty function is the sum of the error term and TVp-regularizers with 0
Although TVp-regularizer is a powerful tool that can significantly promote the sparseness of image gradients, it is neither convex nor smooth, thus making the presented optimization problem more difficult to deal with.
To solve this minimization problem efficiently, such problem is first reformulated as an equivalent constrained minimization problem by introducing new variables and new constraints.
Thereafter, the split Bregman method, as a solver, splits the new constrained minimization problem into subproblems.
For each subproblem, the corresponding efficient method is applied to ensure the existence of closed-form solutions.
In simulated experiments, the proposed algorithm and some state-of-the-art algorithms are applied to restore three types of blurred-noisy images.
The restored results show that the proposed algorithm is valid for image deblurring and is found to outperform other algorithms in experiments.
American Psychological Association (APA)
Xiao, Su. 2014. Deblurring by Solving a TVp-Regularized Optimization Problem Using Split Bregman Method. Advances in Multimedia،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1015490
Modern Language Association (MLA)
Xiao, Su. Deblurring by Solving a TVp-Regularized Optimization Problem Using Split Bregman Method. Advances in Multimedia No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1015490
American Medical Association (AMA)
Xiao, Su. Deblurring by Solving a TVp-Regularized Optimization Problem Using Split Bregman Method. Advances in Multimedia. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1015490
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1015490