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Novel Median Filter for Impulse Noise Suppression from Digital Images

by Geeta H, M.v.latte
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 106 - Number 8
Year of Publication: 2014
Authors: Geeta H, M.v.latte
10.5120/18540-9761

Geeta H, M.v.latte . Novel Median Filter for Impulse Noise Suppression from Digital Images. International Journal of Computer Applications. 106, 8 ( November 2014), 18-21. DOI=10.5120/18540-9761

@article{ 10.5120/18540-9761,
author = { Geeta H, M.v.latte },
title = { Novel Median Filter for Impulse Noise Suppression from Digital Images },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 106 },
number = { 8 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 18-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume106/number8/18540-9761/ },
doi = { 10.5120/18540-9761 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:38:51.678078+05:30
%A Geeta H
%A M.v.latte
%T Novel Median Filter for Impulse Noise Suppression from Digital Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 106
%N 8
%P 18-21
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Median filters and its variants are commonly used for impulse noise removal, but they result in loss of image details. Also, for high noise levels, they are not sufficient in completely removing the noise. The work presented in this paper aims at developing a Novel Median Filter (NMF) and its application to image restoration problem. The restoration problem considered here is an impulsive noise cleaning of the noisy and degraded grey scale images. MATLAB simulations are performed on hundreds of noisy images and the results are presented for impulse noise suppression of the well-known 'Lena' image. Performance analysis of the proposed NMF indicates that this new method effectively suppresses the impulse noise in the image while preserving the image edge information while enhancing the perception of the affected image as observed by the filtered images through visual analysis. Promising results obtained for Peak Signal to Noise Ratio (PSNR) and the Mean Square Error (MSE) are also compared to the standard median filter and its variants.

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Index Terms

Computer Science
Information Sciences

Keywords

Median filter impulse noise PSNR MSE visual perception.

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