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Asymmetric Trimmed Median Filter for Images Highly Corrupted with Random valued Impulse Noise

by R. Pushpavalli, G. Sivaradje
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 44 - Number 7
Year of Publication: 2012
Authors: R. Pushpavalli, G. Sivaradje
10.5120/6275-8438

R. Pushpavalli, G. Sivaradje . Asymmetric Trimmed Median Filter for Images Highly Corrupted with Random valued Impulse Noise. International Journal of Computer Applications. 44, 7 ( April 2012), 19-23. DOI=10.5120/6275-8438

@article{ 10.5120/6275-8438,
author = { R. Pushpavalli, G. Sivaradje },
title = { Asymmetric Trimmed Median Filter for Images Highly Corrupted with Random valued Impulse Noise },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 44 },
number = { 7 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume44/number7/6275-8438/ },
doi = { 10.5120/6275-8438 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:35:25.324475+05:30
%A R. Pushpavalli
%A G. Sivaradje
%T Asymmetric Trimmed Median Filter for Images Highly Corrupted with Random valued Impulse Noise
%J International Journal of Computer Applications
%@ 0975-8887
%V 44
%N 7
%P 19-23
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Asymmetric Trimmed Median Filter for Image denoising is proposed in this paper. This technique can be used for restoring the images extremely corrupted with random valued impulse noise. This paper introduces an impulse detection technique and decision based median filter for restoring the corrupted images. The detection technique is used for discriminating between corrupted and uncorrupted image pixels. The corrupted pixels are restored using Asymmetric trimmed median filter. The performance of the proposed restoring scheme is evaluated with random valued impulse noise for different test images. Simulation results show that this method is significantly better than a number of existing techniques in terms of image restoration and noise detection.

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Index Terms

Computer Science
Information Sciences

Keywords

Impulse Noise Median Filters Image Processing Restoration

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