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A Novel Weighted Median Switching Filter for Denoising Corrupted Images

by Saurabh Agrawal, J. S. Yadav, Ravindranath C. C
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 64 - Number 21
Year of Publication: 2013
Authors: Saurabh Agrawal, J. S. Yadav, Ravindranath C. C
10.5120/10756-5629

Saurabh Agrawal, J. S. Yadav, Ravindranath C. C . A Novel Weighted Median Switching Filter for Denoising Corrupted Images. International Journal of Computer Applications. 64, 21 ( February 2013), 5-10. DOI=10.5120/10756-5629

@article{ 10.5120/10756-5629,
author = { Saurabh Agrawal, J. S. Yadav, Ravindranath C. C },
title = { A Novel Weighted Median Switching Filter for Denoising Corrupted Images },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 64 },
number = { 21 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 5-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume64/number21/10756-5629/ },
doi = { 10.5120/10756-5629 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:17:12.288652+05:30
%A Saurabh Agrawal
%A J. S. Yadav
%A Ravindranath C. C
%T A Novel Weighted Median Switching Filter for Denoising Corrupted Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 64
%N 21
%P 5-10
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a new weighted switching median filter is proposed to restore images corrupted by noise. The neighborhood of a pixel is classified into low corrupted, medium corrupted and highly corrupted regions. Based on this classification the weights associated with the median filter employed for denosing is determined. In addition, switching mechanism allows the use of different weights for different regions based on localized statistics. The proposed algorithm can be applicable to digital images with most of the fine details of the image are mostly preserved. The simulation analysis would shows that the proposed method is good for noise reduction and image restoration.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data modeling denoising noise region detection weighted median filter non-linear filter threshold segmentation

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