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Using anisotropic diffusion equations in pixon domain for image de-noising

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Abstract

Image enhancement is an essential phase in many image processing algorithms. In any image de-noising algorithm, it is a major concern to keep the interesting structures of the image. Such interesting structures in an image often correspond to the discontinuities in the image (edges). In this paper, we propose a new algorithm for image de-noising using anisotropic diffusion equations in pixon domain. In this approach, diffusion equations are applied on the pixonal model of the image. The algorithm has been examined on a variety of standard images and the performance has been compared with algorithms known from the literature. The experimental results show that in comparison with the other existing methods, the proposed algorithm has a better performance in de-noising and preserving image edges.

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Authors and Affiliations

  1. Department of Photonics Engineering, Technical University of Denmark, Ørsteds Plads, Building 343, 2800, Kgs. Lyngby, Denmark

    Ehsan Nadernejad & Søren Forchhammer

  2. Department of Informatics and Mathematical Modeling, Technical University of Denmark, Richard Petersens Plads, Building 305, 2800, Kgs. Lyngby, Denmark

    Sara Sharifzadeh

Authors
  1. Ehsan Nadernejad
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  2. Sara Sharifzadeh
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  3. Søren Forchhammer
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Correspondence to Ehsan Nadernejad.

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Nadernejad, E., Sharifzadeh, S. & Forchhammer, S. Using anisotropic diffusion equations in pixon domain for image de-noising. SIViP 7, 1113–1124 (2013). https://doi.org/10.1007/s11760-012-0356-7

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  • DOI: https://doi.org/10.1007/s11760-012-0356-7

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