Volume 7 Number 2 (Apr. 2017)
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IJAPM 2017 Vol.7(2): 141-147
doi: 10.17706/ijapm.2017.7.2.141-147

One Approach for Image Denoising Based on Finite Element Method and Domain Decomposition Technique

K. Bellaj 1 , S. Boujena 1 , E. El Guarmah 2 , O. Gouasnouane 1

  • 1 MACS, Mathematics and Computing Department, Ain Chock Science Faculty Km 8 Route El Jadida P.O. Box
  • 2 Royal Air School, Mathematics and Computing Department, DFST, BEFRA P.O. Box 40002, Menara

Abstract

The generation process of medical images is inevitably accompanied by a certain noise which degrades the quality of the image and assigns the final clinical diagnosis. Therefore, the denoising step plays an important role in the treatment of medical images in order to prepare the steps of diagnosis and therapy. In this paper, we propose a nonlinear diffusion model for denoising of large size images. The numerical approach to this problem is based on an algorithm combining the methods of finite element and of domain decomposition. Numerical simulations show that the proposed algorithm is a useful alternative for the treatment of degraded images large size.

Keywords

  • Denoising
  • domain decomposition method
  • finite difference method
  • finite element method
  • nonlinear diffusion
384-AM0025

How to Cite

Copied

K. Bellaj, S. Boujena, E. El Guarmah, and O. Gouasnouane, "One Approach for Image Denoising Based on Finite Element Method and Domain Decomposition Technique," International Journal of Applied Physics and Mathematics, vol. 7, no. 2, pp. 141-147, 2017. https://doi.org/ 10.17706/ijapm.2017.7.2.141-147

Copyright & License

Copyright © 2017 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

ISSN: 2010-362X (Online)
Abbreviated Title: Int. J. Appl. Phys. Math.
Frequency: Semi-annual
APC: 500USD
DOI: 10.17706/IJAPM
Editor-in-Chief: Prof. Haydar Akca
Managing Editor: Ms. Phoebe Clifford
Abstracting/ Indexing: INSPEC(IET), CNKI, Google Scholar, EBSCO, Chemical Abstracts Services (CAS), etc.
E-mail: editor@ijapm.org
 

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