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Haze Removal and Color Compensation of Underwater Image

by Nisha Kumari, Ramesh Kumar Sunkaria
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 68 - Number 6
Year of Publication: 2013
Authors: Nisha Kumari, Ramesh Kumar Sunkaria
10.5120/11583-6915

Nisha Kumari, Ramesh Kumar Sunkaria . Haze Removal and Color Compensation of Underwater Image. International Journal of Computer Applications. 68, 6 ( April 2013), 15-20. DOI=10.5120/11583-6915

@article{ 10.5120/11583-6915,
author = { Nisha Kumari, Ramesh Kumar Sunkaria },
title = { Haze Removal and Color Compensation of Underwater Image },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 68 },
number = { 6 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 15-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume68/number6/11583-6915/ },
doi = { 10.5120/11583-6915 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:27:05.952698+05:30
%A Nisha Kumari
%A Ramesh Kumar Sunkaria
%T Haze Removal and Color Compensation of Underwater Image
%J International Journal of Computer Applications
%@ 0975-8887
%V 68
%N 6
%P 15-20
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In underwater image capturing, color change and presence of haze are the two sources of distortion. These distortions are caused by light scattering and light attenuation occurred by light traveling in water with different wavelengths. These changes are caused by light incident on objects, reflected and deflected by different particles present in the propagation path before reaching the camera. Thus the images are hazy and have bluish tone. In the present work, haze removing technique proposed to enhance the image and to compensate the other colors which have disappeared. In the present work, the distortion caused by artificial light, haze effect and appearance of bluish tone are compensated. Based on the amount of attenuation corresponding to each wavelength, color change compensation is conducted and color balance is restored. Effect of noise is also reduced by using the spatial filter. Using this technique the visibility and color of the image can be enhanced.

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Index Terms

Computer Science
Information Sciences

Keywords

Color compensation denoising light attenuation light scattering haze

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