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Reseach Article

Evaluating the Research Gaps of Underwater Image Enhancement Techniques

by Davinder Singh Baajwa, S.a.khan, Jaideep Kaur
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 117 - Number 20
Year of Publication: 2015
Authors: Davinder Singh Baajwa, S.a.khan, Jaideep Kaur
10.5120/20672-3369

Davinder Singh Baajwa, S.a.khan, Jaideep Kaur . Evaluating the Research Gaps of Underwater Image Enhancement Techniques. International Journal of Computer Applications. 117, 20 ( May 2015), 19-23. DOI=10.5120/20672-3369

@article{ 10.5120/20672-3369,
author = { Davinder Singh Baajwa, S.a.khan, Jaideep Kaur },
title = { Evaluating the Research Gaps of Underwater Image Enhancement Techniques },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 117 },
number = { 20 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume117/number20/20672-3369/ },
doi = { 10.5120/20672-3369 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:59:56.598755+05:30
%A Davinder Singh Baajwa
%A S.a.khan
%A Jaideep Kaur
%T Evaluating the Research Gaps of Underwater Image Enhancement Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 117
%N 20
%P 19-23
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Enhancement is among the challenging factors in image processing. The goal of enhancement is to enhance the structural appearance of a picture without the degradation in the input image. The enhancement techniques make the identification of key features easier by eliminating noise and other artifacts within an image. In this paper, we present an overview of image enhancement processing techniques applied on visibility restoration. More specifically, we categorize processing methods based on representative techniques of Image enhancement.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image Enhancement Visibility Restoration Haze Removal