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http://dx.doi.org/10.6109/jicce.2016.14.3.200

Color Compensation of an Underwater Imaging System Using Electromagnetic Wave Propagation  

Inoue, Kotaro (Department of Computer Science and Electronics, Kyushu Institute of Technology)
Lee, Min-Chul (Department of Computer Science and Electronics, Kyushu Institute of Technology)
Kim, Cheol-Su (Department of Electric Energy and Computer Engineering, Gyeongju University)
Cho, Myungjin (Department of Electrical, Electronic, and Control Engineering, IITC, Hankyong National University)
Abstract
Images can be obtained by collecting rays from objects. The characteristics of electromagnetic wave propagation depend on the medium. In particular, in an underwater imaging system, the interface between air and water must be considered. Further, reflection and transmission coefficients can be found by using electromagnetic theory. Because of the fact that the values of these coefficients differ according to the media, the recorded light intensities will change. A color image sensor has three different color channels. Therefore, the reflection and transmission coefficients have to be calculated individually. Thereafter, by using these coefficients, we can compensate for the color information of underwater objects. In this paper, we present a method to compensate for the color information of underwater objects by using electromagnetic wave propagation theory. To prove our method, we conducted optical experiments and evaluated the quality of the compensated image by a metric known as mean square error.
Keywords
Color compensation; Integral imaging; Reflection; Refraction; Underwater imaging;
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1 P. Stand, "Underwater electro-optical system for mine identification," in Detection Technologies for Mines and Minelike Targets, Proceedings of the SPIE, vol. 2496. Bellingham, WA: International Society for Optics and Photonics, pp. 487-497, 1995.
2 L. Mullen, A. J. C. Vieira, P. R. Herezfeld, and V. M. Contarino, "Application of RADAR technology to aerial LIDAR systems for enhancement of shallow underwater target detection," IEEE Transactions on Microwave Theory and Techniques, vol. 43, no. 9, pp. 2370-2377, 1995.   DOI
3 F. Okano, J. Arai, H. Hoshino, and I. Yuyama, "Three-dimensional video system based on integral photography," Optical Engineering, vol. 38, no. 6, pp. 1072-1077, 1999.   DOI
4 D. M. Kocak, F. R. Dalgleish, F. M. Caimi, and Y. Y. Schechner, "A focus on recent development and trends in underwater imaging," Marine Technology Society Journal, vol. 42, no. 1, pp. 52-67, 2008.   DOI
5 L. E. Mertens, In-Water Photography: Theory and Practice. New York: Wiley-Interscience, 1970.
6 T. Glover, G. E. Harwood, and J. N. Lythgoe, A Manual of Underwater Photography. New York: Academic Press, 1977.
7 M. Cho and B. Javidi, "Three-dimensional visualization of objects in turbid water using integral imaging," Journal of Display Technology, vol. 6, no. 10, pp. 544-547, 2010.   DOI
8 E. Hecht, Optics, 4th ed. Reading, MA: Addison-Wesley, 2001.
9 C. A. Balanis, Advanced Engineering Electromagnetics. New York: John Wiley & Sons, 1989.
10 R. Schulein and B. Javidi, "Underwater multi-view three-dimensional imaging," Journal of Display Technology, vol. 4, no. 4, pp. 351-353, 2008.   DOI