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Survey on Removal of Universal Noise from Images

by Muthuselvi.s, Narmadha.d
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 58 - Number 7
Year of Publication: 2012
Authors: Muthuselvi.s, Narmadha.d
10.5120/9296-3512

Muthuselvi.s, Narmadha.d . Survey on Removal of Universal Noise from Images. International Journal of Computer Applications. 58, 7 ( November 2012), 27-31. DOI=10.5120/9296-3512

@article{ 10.5120/9296-3512,
author = { Muthuselvi.s, Narmadha.d },
title = { Survey on Removal of Universal Noise from Images },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 58 },
number = { 7 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 27-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume58/number7/9296-3512/ },
doi = { 10.5120/9296-3512 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:01:52.245685+05:30
%A Muthuselvi.s
%A Narmadha.d
%T Survey on Removal of Universal Noise from Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 58
%N 7
%P 27-31
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Removing mixed noise from images is one of the challenging problem. In this paper, review the types of filtering approach and noise detection technique for remove mixed noise from images. Switching bilateral filter is one of the best methods for removing mixed noise. Compare to other filters, the switching scheme is best one for restore high level impulse noise in images. Computational complexity of SBF is less than the other universal noise removal filters.

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Index Terms

Computer Science
Information Sciences

Keywords

Gaussian noise Impulse noise Mixed noise Noise detection Impulse noise Switching bilateral filter

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