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Iterative Nonlocal Total Variation Regularization Method for Image Restoration

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  • Huanyu Xu
  • Quansen Sun
  • Nan Luo
  • Guo Cao
  • Deshen Xia

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.

Suggested Citation

  • Huanyu Xu & Quansen Sun & Nan Luo & Guo Cao & Deshen Xia, 2013. "Iterative Nonlocal Total Variation Regularization Method for Image Restoration," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-10, June.
    • Handle: RePEc:plo:pone00:0065865
    DOI: 10.1371/journal.pone.0065865
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