Journal article
Using anisotropic diffusion equations in pixon domain for image de-noising
Department of Photonics Engineering, Technical University of Denmark1
Coding and Visual Communication, Department of Photonics Engineering, Technical University of Denmark2
Department of Informatics and Mathematical Modeling, Technical University of Denmark3
DTU Data Analysis, Department of Informatics and Mathematical Modeling, Technical University of Denmark4
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.
Language: | English |
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Publisher: | Springer London |
Year: | 2013 |
Pages: | 1113-1124 |
ISSN: | 18631711 and 18631703 |
Types: | Journal article |
DOI: | 10.1007/s11760-012-0356-7 |
ORCIDs: | Forchhammer, Søren |