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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Simulation Of Underwater Color Images Using Banded Spectral Model

Authors:

Denis A. Shepelev, Valentina P. Bozhkova, Egor I. Ershov, Dmitry P. Nikolaev

Published in:

 

 

2020). ECMS 2020 Proceedings Edited by: Mike Steglich, Christian Muller, Gaby Neumann, Mathias Walther, European Council for Modeling and Simulation.

 

DOI: http://doi.org/10.7148/2020

ISSN: 2522-2422 (ONLINE)

ISSN: 2522-2414 (PRINT)

ISSN: 2522-2430 (CD-ROM)

 

ISBN: 978-3-937436-68-5
ISBN: 978-3-937436-69-2(CD)

 

Communications of the ECMS , Volume 34, Issue 1, June 2020,

United Kingdom

 

Citation format:

Denis A. Shepelev, Valentina P. Bozhkova, Egor I. Ershov, Dmitry P. Nikolaev (2020). Simulation Of Underwater Color Images Using Banded Spectral Model, ECMS 2020 Proceedings Edited By: Mike Steglich, Christian Mueller, Gaby Neumann, Mathias Walther European Council for Modeling and Simulation. doi: 10.7148/2020-0011

DOI:

https://doi.org/10.7148/2020-0011

Abstract:

This paper considers methods of color underwater images simulation based on terrestrial images. These methods avoid the expensive process of collecting real data to develop algorithms for improving underwater images. To model light attenuation underwater, existing works often use channel-wise approximation of the Beer–Lambert–Bouguer law. The accuracy of such approximation significantly depends not only on the camera sensitivities but also on its color calibration parameters. In this paper, we propose a method for underwater images simulation, based on the banded spectral model, which is devoid of the last drawback. In the proposed approach, the spectrum of the registered radiance is estimated from the camera response and attenuation modeling is performed in the spectral space. The average reproduction angular error in simulation based on the banded spectral model is 20-30% less than in channel-wise approximation.

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