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Proceedings Paper

A comprehensive underwater laser imaging model based on temporal and spatial broadening
Author(s): You-wei Huang; Wei-qi Jin; Kun Ding; Hai-lan Li; Feng-mei Cao; Xia Wang
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Paper Abstract

The imaging of underwater objects which have been illuminated by natural or artificial light has been of long-standing interest to investigators working in oceanographic environments. Analysis of the propagation of imaging light through water is complicated by extreme attenuating and scattering properties of water, especially multiple scattering. A comprehensive computer model to simulate the formation of underwater images has been presented in this article. The model incorporates the temporal and spatial broadening properties of the propagation of light in water. A degraded image is approximated as a convolution of an initial image and point spread functions (PSFs). The spatial PSF plays a significant role in describing the spatial propagation of light and image blurring due to forward scattering. The temporal PSF can describe the pulse broadening effect, which is of great significance to evaluate the performance of range-gated technology. Computed and measured images compare favorably. It is concluded that the use of spatial and temporal broadening models are convenient and viable techniques for analytic computation of underwater images.

Paper Details

Date Published: 28 August 2009
PDF: 11 pages
Proc. SPIE 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging, 738237 (28 August 2009); doi: 10.1117/12.836672
Show Author Affiliations
You-wei Huang, Beijing Institute of Technology (China)
Wei-qi Jin, Beijing Institute of Technology (China)
Kun Ding, Beijing Institute of Technology (China)
Hai-lan Li, Beijing Institute of Technology (China)
Feng-mei Cao, Beijing Institute of Technology (China)
Xia Wang, Beijing Institute of Technology (China)

Published in SPIE Proceedings Vol. 7382:
International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging
Farzin Amzajerdian; Chun-qing Gao; Tian-yu Xie, Editor(s)

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