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A Modified Non Linear Median Filter for the Removal of Medium Density Random Valued Impulse Noise

by Govind Ballabh Khan, Sandeep Pratap Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 147 - Number 8
Year of Publication: 2016
Authors: Govind Ballabh Khan, Sandeep Pratap Singh
10.5120/ijca2016911081

Govind Ballabh Khan, Sandeep Pratap Singh . A Modified Non Linear Median Filter for the Removal of Medium Density Random Valued Impulse Noise. International Journal of Computer Applications. 147, 8 ( Aug 2016), 17-22. DOI=10.5120/ijca2016911081

@article{ 10.5120/ijca2016911081,
author = { Govind Ballabh Khan, Sandeep Pratap Singh },
title = { A Modified Non Linear Median Filter for the Removal of Medium Density Random Valued Impulse Noise },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2016 },
volume = { 147 },
number = { 8 },
month = { Aug },
year = { 2016 },
issn = { 0975-8887 },
pages = { 17-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume147/number8/25673-2016911081/ },
doi = { 10.5120/ijca2016911081 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:51:21.096963+05:30
%A Govind Ballabh Khan
%A Sandeep Pratap Singh
%T A Modified Non Linear Median Filter for the Removal of Medium Density Random Valued Impulse Noise
%J International Journal of Computer Applications
%@ 0975-8887
%V 147
%N 8
%P 17-22
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the field of image processing, elimination of noise from digital images plays a vital role. Effective detection of noisy pixel based on median value and an efficient algorithm for the estimation and replacement of noisy pixel has been carried out in this proposed method in which replacement of noisy pixel is carried out twice, which results in better preservation of image details. The presence of high performing detection stage for the detection noisy pixel makes the proposed method suitable in the case of high density random valued impulse noise, hence the proposed method yields better image quality with improved peak signal to noise ratio (PSNR) and reduced mean square error (MSE). Results of proposed method has been compared with many other standard median based switching filters in terms of visual and quantitative measures and the performance of the proposed method is presented.

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Index Terms

Computer Science
Information Sciences

Keywords

Mean square error Peak signal to noise ratio Random valued impulse noise switching median filter.

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