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Iterative nonlocal total variation regularization method for image restoration
Huanyu Xu1, Quansen Sun, Nan Luo
1School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, Jiangsu, China.
Abstract:
In this paper, a Bregman iteration based total variation image restoration algorithm is proposed. Based on the Bregman iteration, the algorithm splits the original total variation problem into sub-problems that are easy to solve. Moreover, non-local regularization is introduced into the proposed algorithm, and a method to choose the non-local filter parameter locally and adaptively is proposed. Experiment results show that the proposed algorithms outperform some other regularization methods.
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