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Reseach Article

A Comparative Study on Noise Removal of Compound Images using Different Types of Filters

by Zinat Afrose
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 14
Year of Publication: 2012
Authors: Zinat Afrose
10.5120/7260-0398

Zinat Afrose . A Comparative Study on Noise Removal of Compound Images using Different Types of Filters. International Journal of Computer Applications. 47, 14 ( June 2012), 45-48. DOI=10.5120/7260-0398

@article{ 10.5120/7260-0398,
author = { Zinat Afrose },
title = { A Comparative Study on Noise Removal of Compound Images using Different Types of Filters },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 14 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 45-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number14/7260-0398/ },
doi = { 10.5120/7260-0398 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:41:53.794136+05:30
%A Zinat Afrose
%T A Comparative Study on Noise Removal of Compound Images using Different Types of Filters
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 14
%P 45-48
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the advances of information technology, many techniques have been discovered to represent data. A large amount of data is commonly represented by an image. Accuracy of this data representation by an image is another important task in image processing. 'Representation of data via a compound image' is becoming most popular day by day. So, noise removal is necessary to maintain the quality of the compound images. Noise can be added to the compound images during image acquisition, image capturing or image transmission. Different literature study shows that many filtering techniques are presented to remove noise or improve the quality of the corrupted images. This paper deals with the performance study of Median, Relaxed median, Wiener, Centre weighted median and Averaging filters to remove Salt and pepper, Gaussian and Speckle noise in the compound images. This paper proposes relaxed median filter performs better for compound images.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Median Filter Relaxed Median Filter Wiener Filter Centre Weighted Median Filter Averaging Filter Salt And Pepper Noise Gaussian Noise Speckle Noise