<?xml version="1.0" encoding="UTF-8"?>

<article xmlns="https://www.ijrdes.com/schema/article"
         version="1.0"
         language="en">

    <journal>
        <name>International Journal of Research and Development in Engineering Sciences</name>
        <website>https://www.ijrdes.com</website>
    </journal>

    <metadata>
        <title>Underwater Image Enchancement using CNN based Learning Methods</title>

        <authors>
			<author><name>Jada Nageswara Rao</name>     </author>
        </authors>

        <volume>6</volume>
        <issue>6 (November - December)</issue>

        <publication>
            <year>2024</year>
			<month>11</month>
			
			<period>November-December</period>
        </publication>

		<language>en</language><keywords><keyword>Histogram Equalization Technique</keyword><keyword>White Balance Technique</keyword><keyword>DCT Technique.</keyword></keywords> 
    </metadata>

    <abstract>Underwater images find application in various fields like marine research inspection of aquatic habitat underwater surveillance identification of minerals and more However underwater shots are affected a lot during the acquisition process due to the absorption and scattering of light As depth increases longer wavelengths get absorbed by water therefore the images appear predominantly bluishgreen and red gets absorbed due to higher wavelength These phenomenons result in significant degradation of images due to which images have low contrast colour distortion and low visibility Hence underwater images need enhancement to improve the quality of images to be used for various applications while preserving the valuable information contained in them </abstract>

    <copyright>
        <statement>
            Copyright (c) 2026 International Journal of Research and Development in Engineering Sciences. All rights reserved.
        </statement>
        
            <year>2024</year>
        <license>All Rights Reserved</license>
    </copyright>

</article>
