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NeuroFuzzy Network Schemes for Impulsive Noise Reduction in Digital Images

by Turki Y. Abdalla, Abdul-kareem Younis, Sarah Behnam Aziz
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 49 - Number 21
Year of Publication: 2012
Authors: Turki Y. Abdalla, Abdul-kareem Younis, Sarah Behnam Aziz
10.5120/7899-1274

Turki Y. Abdalla, Abdul-kareem Younis, Sarah Behnam Aziz . NeuroFuzzy Network Schemes for Impulsive Noise Reduction in Digital Images. International Journal of Computer Applications. 49, 21 ( July 2012), 43-50. DOI=10.5120/7899-1274

@article{ 10.5120/7899-1274,
author = { Turki Y. Abdalla, Abdul-kareem Younis, Sarah Behnam Aziz },
title = { NeuroFuzzy Network Schemes for Impulsive Noise Reduction in Digital Images },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 49 },
number = { 21 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 43-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume49/number21/7899-1274/ },
doi = { 10.5120/7899-1274 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:46:52.564464+05:30
%A Turki Y. Abdalla
%A Abdul-kareem Younis
%A Sarah Behnam Aziz
%T NeuroFuzzy Network Schemes for Impulsive Noise Reduction in Digital Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 49
%N 21
%P 43-50
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Noise reduction or noise removal is an important task in image processing. In general, Results of the noise removal have a strong influence on the quality of the following image processing techniques. On the other side, the integrated system of neurofuzzy networks are more interesting and applied for different applications. In this contribution, two neurofuzzy network schemes have been presented for impulsive noise removal. The computation is reduced by using an artificial image in training. High performances are obtained. Results of neurofuzzy schemes show that the performance is increased as the ratio of the noise is increased. The presented schemes are used for grayscale and also for true color images.

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Neural Network Impulsive noise reduction Image processing Noise Removal

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