Using F-transform to remove image noise
Abstract
This paper is devoted to investigate fuzzy transform from the approximation point of view and to incorporate it as a technique to remove image noise. It will be applied to remove random variation Impulsive Noise. The Numerical Algorithm based on fuzzy transform will be implemented as a user-subroutine in the mathematical code MATLAB. The algorithm will be simulated to remove different ratios of Random Variation Impulsive Noise. An example will be given to show the efficiency of applying F-transform to data processing and results will be compared with Adaptive Wiener Filter.
Copyright © 2016 Awni M. Abu-Saman, Huda S. Al-Zerai. 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.
Cite this article
A. M. Abu-Saman, H. S. Al-Zerai, Using F-transform to remove image noise, J. Math. Comput. Sci. 6 (2016), 934–942.
BibTeX
@article{Abu-Saman2016,
author = {Abu-Saman, Awni M. and Al-Zerai, Huda S.},
title = {Using F-transform to remove image noise},
journal = {J. Math. Comput. Sci.},
volume = {6},
year = {2016},
pages = {934--942},
doi = {}
}