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Colour reconstruction of underwater images

Hoth, Julian and Kowalczyk, Wojciech (2017) Colour reconstruction of underwater images. Underwater Technology, 34 (2), pp. 54-61. Society for Underwater Technology. DOI: 10.3723/ut.34.051 ISSN 1756-0543

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Official URL: http://www.ingentaconnect.com/content/sut/unwt/2017/00000034/00000002

Abstract

Objects look very different in the underwater environment compared to their appearance in sunlight. Images with correct colouring simplify the detection of underwater objects and may allow the use of visual SLAM algorithms developed for land-based robots underwater. Hence, image processing is required. Current algorithms focus on the colour reconstruction of scenery at diving depth where different colours can still be distinguished. At greater depth this is not the case. In this study it is investigated whether machine learning can be used to transform image data. First, laboratory tests are performed using a special light source imitating underwater lighting conditions. It is shown that the k-nearest neighbour method and support vector machines yield excellent results. Based on these results an experimental verification is performed under severe conditions in murky water of a diving basin. It is shown that the k-nearest neighbour method gives very good results for small distances between the object and the camera and for small water depths in the red channel. For higher distances, water depths, and for the other colour channels support vector machines are the best choice for the reconstruction of the colour as seen under white light from the underwater images.

Item URL in elib:https://elib.dlr.de/107430/
Document Type:Article
Title:Colour reconstruction of underwater images
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Hoth, JulianJulian.Hoth (at) dlr.deUNSPECIFIED
Kowalczyk, Wojciechwojciech.kowalczyk (at) uni-due.deUNSPECIFIED
Date:14 March 2017
Journal or Publication Title:Underwater Technology
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:34
DOI :10.3723/ut.34.051
Page Range:pp. 54-61
Editors:
EditorsEmail
Sayer, MDJScottish Association for Marine Science
Griffiths, GAutonomous Analytics
Ayling, LJMaris International Ltd
Azzopardi, ESociety for Underwater Technology
Publisher:Society for Underwater Technology
ISSN:1756-0543
Status:Published
Keywords:Colour reconstruction, underwater camera, unmanned underwater vehicles, marine robotics
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Neustrelitz
Institutes and Institutions:Institute of Communication and Navigation > Nautical Systems
Deposited By: Hoth, Julian
Deposited On:15 Mar 2017 11:08
Last Modified:31 Jul 2019 20:04

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