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Proceedings Paper

Model-based super-resolution reconstruction techniques for underwater imaging
Author(s): Yuzhang Chen; Bofei Yang; Min Xia; Wei Li; Kecheng Yang; Xiaohui Zhang
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Paper Abstract

The visibility of underwater imaging has been of long-standing interest to investigators working in many civilian and military areas such as oceanographic environments, efforts such as image restoration techniques can help to enhance the image quality; however, the resolution is still limited. Image super resolution reconstruction (SRR) techniques are promising approaches for improving resolution beyond the limit of hardware; furthermore, with the prior knowledge of the imaging system such as the point spread function and diffration limit, performance of the super resolution reconstruction can be further enhanced, which can also extend the imaging range as well. In order to improve the resolution to a best possible level, an imaging model based on beam propagation is established and applied to image super-resolution reconstruction techniques for an underwater range-gated pulsed laser imaging system in the presented effort. Experimental results show that the proposed approaches can effectively enhance the resolution and quality of underwater imaging

Paper Details

Date Published: 17 February 2012
PDF: 10 pages
Proc. SPIE 8332, Photonics and Optoelectronics Meetings (POEM) 2011: Optoelectronic Sensing and Imaging, 83320G (17 February 2012); doi: 10.1117/12.918997
Show Author Affiliations
Yuzhang Chen, Huazhong Univ. of Science and Technology (China)
Bofei Yang, Zhejiang Univ. (China)
Min Xia, Huazhong Univ. of Science and Technology (China)
Wei Li, Huazhong Univ. of Science and Technology (China)
Kecheng Yang, Huazhong Univ. of Science and Technology (China)
Xiaohui Zhang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8332:
Photonics and Optoelectronics Meetings (POEM) 2011: Optoelectronic Sensing and Imaging
Pierre Galarneau; Xu Liu; Pengcheng Li, Editor(s)

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