Iterative Nonlocal Total Variation Regularization Method for Image Restoration
Huanyu Xu, Quansen Sun, Nan Luo, Guo Cao, Deshen Xia · PLoS ONE · 2013
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.