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Regular Article
Volume: 57 | Article ID: art00003
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Local Structural Adaptive Total Variation Method for Image Restoration
  DOI :  10.2352/J.ImagingSci.Technol.2013.57.2.020503  Published OnlineMarch 2013
Abstract

Abstract In this article, a local structure adaptive total variation (LSATV) method for image restoration is presented. In our method, a discontinuity indicator is first proposed based on the eigenvalues of the structure tensor, which can effectively distinguish between edges and noises. Based on the proposed discontinuity indicator, a p norm is adaptively selected to match the local structure property of a pixel. Therefore, the proposed LSATV method inherits the advantages of both the Tikhonov regularization method and the total variation regularization method. Experimental results show the robustness of the proposed method and its superiority to state-of-the-art methods.

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Weili Zeng, Xiaobo Lu, Wei Koh, "Local Structural Adaptive Total Variation Method for Image Restorationin Journal of Imaging Science and Technology,  2013,  pp 20503-1 - 20503-5,  https://doi.org/10.2352/J.ImagingSci.Technol.2013.57.2.020503

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