Modelling of beam propagation and its applications for underwater imaging

Yuzhang CHEN, Kecheng YANG, Xiaohui ZHANG, Min XIA, Wei LI

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PDF(505 KB)
Front. Optoelectron. ›› 2011, Vol. 4 ›› Issue (4) : 398-406. DOI: 10.1007/s12200-011-0219-9
RESEARCH ARTICLE
RESEARCH ARTICLE

Modelling of beam propagation and its applications for underwater imaging

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Abstract

In order to process underwater imaging to the best possible level, an imaging model based on beam propagation was established. The presented model included not only the laser beam propagation affected by absorption and scattering, but also the effects of underwater turbulence and the diffraction limit of sensors. By this model approximately quantified optical transfer functions (OTFs) were studied. Thus, under this framework, the approaches of image enhancement, restoration and super-resolution reconstruction (SRR) can be extended by incorporating underwater optical properties based on OTF or point spread function (PSF) of the imaging system. Experimental results proved that the imaging range and the image quality can be effectively enhanced, which are critical in underwater imaging or detecting.

Keywords

image super-resolution reconstruction (SRR) / optical transfer function (OTF) / point spread function (PSF) / range-gated

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Yuzhang CHEN, Kecheng YANG, Xiaohui ZHANG, Min XIA, Wei LI. Modelling of beam propagation and its applications for underwater imaging. Front Optoelec Chin, 2011, 4(4): 398‒406 https://doi.org/10.1007/s12200-011-0219-9

References

[1]
Duntley S Q. Light in the sea. Journal of the Optical Society of America, 1963, 53(2): 214-233
CrossRef Google scholar
[2]
Acharekar M A. Underwater laser imaging system (ULIS). In: Proceedings of SPIE. 1997, 3079: 750
[3]
Chang P C Y, Walker J G, Hopcraft K I, Ablitt B, Jakeman E. Polarization discrimination for active imaging in scattering media. Optics Communications, 1999, 159(1-3): 1-6
CrossRef Google scholar
[4]
McLean E A, Burris H R Jr, Strand M P. Short-pulse range-gated optical imaging in turbid water. Applied Optics, 1995, 34(21): 4343-4351
CrossRef Pubmed Google scholar
[5]
Masters B R, Barrett H H, Myers K J. Foundations of Image Science. In: Saleh B E A, ed. Wiley Series in Pure and Applied Optics. New York: Wiley-Interscience, 2007, 31(2): 114-115
[6]
Mertens L E, Replogle F S Jr. Use of point spread and beam spread functions for analysis of imaging systems in water. Journal of the Optical Society of America, 1977, 67(8): 1105-1117
CrossRef Google scholar
[7]
Hou W L. A simple underwater imaging model. Optics Letters, 2009, 34(17): 2688-2690
CrossRef Pubmed Google scholar
[8]
Hou W L, Gray D J, Weidemann A D, Arnone R A. Comparison and validation of point spread models for imaging in natural waters. Optics Express, 2008, 16(13): 9958-9965
CrossRef Pubmed Google scholar
[9]
Jaffe J S. Computer modeling and the design of optimal underwater imaging systems. IEEE Journal of Oceanic Engineering, 1990, 15(2): 101-111
CrossRef Google scholar
[10]
Rosenfeld A, Kak A C. Digital Picture Processing. 2nd ed. New York: Academic, 1982
[11]
Wells W H. Loss of resolution in water as a result of multiple small-angle scattering. Journal of the Optical Society of America, 1969, 59(6): 686-691
CrossRef Google scholar
[12]
Yu Y F, Liu F C. System of remote-operated-vehicle-based underwater blurred image restoration. Optical Engineering, 2007, 46(11): 116002
CrossRef Google scholar
[13]
Duntley S Q. Underwater Lighting by Submerged Lasers and Incandescent Sources. San Diego: Scripts Instituition of Oceanography, University of California, 1971
[14]
Dolin L S, Gilbert G D, Levin I, Luchinin A. Theory of Imaging Through Wavy Sea Surface. Nizhniy Novgorod: Russian Academy of Sciences, Institution of Applied Physics, 2006
[15]
Wells W H. Theory of small angle scattering. AGARD Lecture Series, 1973, 61: 3.3.1-3.3.19
[16]
Tatarskii V I. Wave Propagation in a Turbulent Medium. Silverman R S, translated. New York: McGraw-Hill, 1961: 285
[17]
Bonnier D, Stephane C, Yvves L, Bruno L, Marc L, Pierre G. Modelling of active TV system for surveillance operations. In: Proceedings of SPIE–The International Society for Optical Engineering. 1999, 3698: 217-228
[18]
Hou W L, Gray Deric J, Weidemann Alan D, Fournier Georges R, Forand J L. Automated underwater image restoration and retrieval of related optical properties. IEEE International Geoscience and Remote Sensing Symposium, 2007: 1889-1892
[19]
Han H W, Zhang X H, Ge W L. Performance evaluation of underwater range-gated viewing based on image quality metric. In: Proceedings of the International Conference on ICEME’09. 2009, 4: 441
[20]
Gonzalez R C, Woods R E. Digital Image Processing. 2nd ed. Upper Saddle River, NJ: Prentice Hall, 2002
[21]
Park S C, Park M K, Kang M G. Super-resolution image reconstruction: a technical overview. IEEE Signal Processing Magazine, 2003, 20(3): 21-36
CrossRef Google scholar
[22]
Zhang J L, Zhang Q H, He G M. Blind deconvolution of a noisy degraded image. Applied Optics, 2009, 48(12): 2350-2355
CrossRef Pubmed Google scholar
[23]
Wang Z F, Tang Y D. Semi-blind image restoration based on Chan-Vese denoising model. Chinese Optics Letters, 2008, 6(6): 405-407
CrossRef Google scholar

Acknowledgements

This paper was supported by the National Natural Science Foundation of China (Grant No. 61008050).

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2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
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