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

Publication: Research - peer-reviewJournal article – Annual report year: 2012

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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.
Original languageEnglish
JournalSignal, Image and Video Processing
Issue number6
Pages (from-to)1113-1124
StatePublished - 2013
CitationsWeb of Science® Times Cited: 2


  • De-noising, Edge, Diffusion equations, Pixonal image
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