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An Approach to Minimize Very High Density Salt and Pepper Noise through Trimmed Global Mean

by T. Veerakumar, S. Esakkirajan, Ila Vennila
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 39 - Number 12
Year of Publication: 2012
Authors: T. Veerakumar, S. Esakkirajan, Ila Vennila
10.5120/4874-7303

T. Veerakumar, S. Esakkirajan, Ila Vennila . An Approach to Minimize Very High Density Salt and Pepper Noise through Trimmed Global Mean. International Journal of Computer Applications. 39, 12 ( February 2012), 29-33. DOI=10.5120/4874-7303

@article{ 10.5120/4874-7303,
author = { T. Veerakumar, S. Esakkirajan, Ila Vennila },
title = { An Approach to Minimize Very High Density Salt and Pepper Noise through Trimmed Global Mean },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 39 },
number = { 12 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 29-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume39/number12/4874-7303/ },
doi = { 10.5120/4874-7303 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:26:45.595352+05:30
%A T. Veerakumar
%A S. Esakkirajan
%A Ila Vennila
%T An Approach to Minimize Very High Density Salt and Pepper Noise through Trimmed Global Mean
%J International Journal of Computer Applications
%@ 0975-8887
%V 39
%N 12
%P 29-33
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we are proposing an approach to minimize very high density salt and pepper noise through trimmed global mean. The Modified decision based unsymmetrical trimmed median filter tries to remove high density salt and pepper noise by taking the mean value of the elements within the processing window. This algorithm fails if all the elements within the processing window is either ‘0’ or ‘255’. In our approach, if all the elements within the window are ‘0’ or ‘255’ then the noisy pixel is replaced by the trimmed global mean. The proposed algorithm exhibits better image quality than the median filter, adaptive median filter, decision based median filter and modified decision based unsymmetrical trimmed median filter. The proposed algorithm is tested for different grayscale and color images and it gives better peak signal to noise ratio and image enhancement factor.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Impulse noise Median filter Trimmed Median Filter Trimmed Global Mean

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