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

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...

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Bibliographic Details
Published in:International journal of computer applications 2012-01, Vol.44 (7), p.19-23
Main Authors: Pushpavalli, R, Sivaradje, G
Format: Article
Language:English
Subjects:
Asymmetry
Computer simulation
Extreme values
Impulses
Noise
Pixels
Renovating
Online Access:Get full text
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Description
Summary: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.
ISSN:0975-8887
0975-8887
DOI:10.5120/6275-8438