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
Publication date2013
Volume7
Journal number6
Pages1113-1124
ISSN1863-1703
DOIs
StatePublished
CitationsWeb of Science® Times Cited: 0

Keywords

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