A chaotic iterative algorithm based on linearized Bregman iteration for image deblurring

In this paper, we propose a new chaotic iterative algorithm for image deblurring. The algorithm is based on generalized inverse iteration, and linearized Bregman iteration for the basis pursuit problem minu∈Rn{‖u‖1:Au=f}. Numerical experiments show that the chaotic algorithm for image restoration is...

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Bibliographic Details
Published in:Information sciences 2014-07, Vol.272, p.198-208
Main Authors: Qiao, Tiantian, Li, Weiguo, Wu, Boying, Wang, Jichao
Format: Article
Language:English
Subjects:
Algorithms
Chaos theory
Chaotic iterative
Convergence analysis
Generalized inverse
Image deblurring
Image restoration
Iterative algorithms
Iterative methods
Linearized Bregman iteration
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Summary:In this paper, we propose a new chaotic iterative algorithm for image deblurring. The algorithm is based on generalized inverse iteration, and linearized Bregman iteration for the basis pursuit problem minu∈Rn{‖u‖1:Au=f}. Numerical experiments show that the chaotic algorithm for image restoration is effective and efficient.
ISSN:0020-0255
1872-6291
DOI:10.1016/j.ins.2014.02.094