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An IDBUTM Filter for the Removal of High Density Impulse Noise

Published on September 2014 by Shivpratap Pandey, Kunal Gaurav, Piyush Sharma
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Recent Advances in Wireless Communication and Artificial Intelligence
Foundation of Computer Science USA
RAWCAI - Number 3
September 2014
Authors: Shivpratap Pandey, Kunal Gaurav, Piyush Sharma
e7aa9804-0f15-4071-b765-7e5b5030bc97

Shivpratap Pandey, Kunal Gaurav, Piyush Sharma . An IDBUTM Filter for the Removal of High Density Impulse Noise. Recent Advances in Wireless Communication and Artificial Intelligence. RAWCAI, 3 (September 2014), 33-36.

@article{
author = { Shivpratap Pandey, Kunal Gaurav, Piyush Sharma },
title = { An IDBUTM Filter for the Removal of High Density Impulse Noise },
journal = { Recent Advances in Wireless Communication and Artificial Intelligence },
issue_date = { September 2014 },
volume = { RAWCAI },
number = { 3 },
month = { September },
year = { 2014 },
issn = 0975-8887,
pages = { 33-36 },
numpages = 4,
url = { /proceedings/rawcai/number3/17936-1454/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Recent Advances in Wireless Communication and Artificial Intelligence
%A Shivpratap Pandey
%A Kunal Gaurav
%A Piyush Sharma
%T An IDBUTM Filter for the Removal of High Density Impulse Noise
%J Recent Advances in Wireless Communication and Artificial Intelligence
%@ 0975-8887
%V RAWCAI
%N 3
%P 33-36
%D 2014
%I International Journal of Computer Applications
Abstract

Improved decision based unsymmetric trimmed median ?lter is one of the valuable methods that are capable to restore of gray scale images which have been enormously corrupted by Salt-and-Pepper noise. An Improved decision based unsymmetric trimmed median ?lter is proposed to enhance decision based unsymmetric trimmed median ?lter in term of its noise filtering ability as the images are highly degraded. In the case of high density noise, the presentation of the standard methods is very poor in terms of noise restraint and detail preservation. This filter has proved its supremacy in preserving edges and fine details over the other well-known filters. This algorithm shows better results than the Median Filter (MF), Progressive Switched Median Filter (PSMF), Adaptive Median Filter (AMF) and Modified Decision Based Unsymmetric Trimmed median filter (MDBUTMF) at high Impulse noise density.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Dbutmf Impulse Noise Matlab Median Filter Psmf