Image Restoration based on Nonlocal Total Variation

Abstract

Abstract:

In this paper, we proposed a novel nonlocal total variation method for image restoration. The proposed method extended the conventional total variation to a novel nonlocal model and made full use of the structure protection within the nonlocal patches to further improve the restoration quality. In addition, to solve the proposed nonlocal total variation model, we introduced the operator to compact the objective function, and then solved it alternatively with Splitting technique to obtain high accuracy. The experiment results shows that our proposed method outperform the conventional methods on both of the evaluation and visualization.

Key words: Image processing, Image restoration, Nonlocal total variation, Regularization

CLC Number:

TP391.9

Zhang Jin-hua，Hou Yan,Yang Jun. Image Restoration based on Nonlocal Total Variation[J]. J4, 2015, 32(3): 278-282.

References

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