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Reseach Article

A Comparative Study of Image Enhancement Techniques

by Swati Khidse, Meghana Nagori
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 15
Year of Publication: 2013
Authors: Swati Khidse, Meghana Nagori
10.5120/14201-2421

Swati Khidse, Meghana Nagori . A Comparative Study of Image Enhancement Techniques. International Journal of Computer Applications. 81, 15 ( November 2013), 28-32. DOI=10.5120/14201-2421

@article{ 10.5120/14201-2421,
author = { Swati Khidse, Meghana Nagori },
title = { A Comparative Study of Image Enhancement Techniques },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 81 },
number = { 15 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 28-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number15/14201-2421/ },
doi = { 10.5120/14201-2421 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:56:09.989793+05:30
%A Swati Khidse
%A Meghana Nagori
%T A Comparative Study of Image Enhancement Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 15
%P 28-32
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Images are the main source of acquiring information from the real world. Images are captured or taken in different situations and position. So there is need for image preprocessing of the captured image for the purpose of removal of noise, unwanted background, making sharp or blur according to application. Image enhancement is the first preprocessing step in image processing, with the help of which the authors propose the image with more clarity. In this paper the authors describes various techniques of image enhancement and compare it with image fusion techniques, with the help of various error analysis techniques. Image fusion techniques are assessed using the various metrics. A comparative study is carried out on different categories of images.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image enhancement Image fusion metrics Error Analysis