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Impulse Noise Removal using Cloud Model based Filter

by Y. Bibula Flency Dhas, S. Murugappriya, G. R. Suresh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 65 - Number 23
Year of Publication: 2013
Authors: Y. Bibula Flency Dhas, S. Murugappriya, G. R. Suresh
10.5120/11226-6445

Y. Bibula Flency Dhas, S. Murugappriya, G. R. Suresh . Impulse Noise Removal using Cloud Model based Filter. International Journal of Computer Applications. 65, 23 ( March 2013), 30-34. DOI=10.5120/11226-6445

@article{ 10.5120/11226-6445,
author = { Y. Bibula Flency Dhas, S. Murugappriya, G. R. Suresh },
title = { Impulse Noise Removal using Cloud Model based Filter },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 65 },
number = { 23 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 30-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume65/number23/11226-6445/ },
doi = { 10.5120/11226-6445 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:20:40.952565+05:30
%A Y. Bibula Flency Dhas
%A S. Murugappriya
%A G. R. Suresh
%T Impulse Noise Removal using Cloud Model based Filter
%J International Journal of Computer Applications
%@ 0975-8887
%V 65
%N 23
%P 30-34
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents image processing, enhancement and restoration of images with the aid of Cloud Model (CM) filter capable of removing impulse noise. In this method, a modified decision based unsymmetrical trimmed median algorithm is used to remove noise pixels which are detected by CM based detector. The performance of CM filter is compared with that of Standard Median (SM), Adaptive Median (AM) and Wiener filters. The PSNR study is conducted at different noise levels ranging from 10% to 90% to show the effectiveness of the proposed filter.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cloud Model (CM) Image processing Impulse noise PSNR study

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