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Anisotropic diffusion equation with a new diffusion coefficient for image denoising

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Abstract

This paper presents a new anisotropic diffusion model which is based on a new diffusion coefficient for image denoising. In the proposed model, a new diffusion coefficient and a method of automatically set gradient threshold parameter are introduced into an anisotropic diffusion model, which weakens the staircasing effect and preserves fine edges in a processed image. Comparative experiments show that the new model achieves the more satisfied denoising results than the other existing models.

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Acknowledgements

The authors are grateful to the anonymous reviewers and the associate editor for their valuable comments, which have greatly helped us to improve this work. This work has been supported by the Transformation Project of High-Tech Result of CQEC KJZH14207.

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Authors and Affiliations

  1. College of Optoelectronic Engineering, Chongqing University, Chongqing, 400044, China

    Yang Xu

  2. The Key Laboratory for Optoelectronic Technology and Systems Ministry of Education of China, Chongqing University, Chongqing, 400044, China

    Yang Xu

  3. School of Mathematics and Statistics, Southwest University, Chongqing, 400715, China

    Jianjun Yuan

Authors
  1. Yang Xu
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  2. Jianjun Yuan
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Correspondence to Jianjun Yuan.

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Xu, Y., Yuan, J. Anisotropic diffusion equation with a new diffusion coefficient for image denoising. Pattern Anal Applic 20, 579–586 (2017). https://doi.org/10.1007/s10044-016-0590-7

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  • DOI: https://doi.org/10.1007/s10044-016-0590-7

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