17 February 2012 Model-based super-resolution reconstruction techniques for underwater imaging
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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
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Yuzhang Chen, Yuzhang Chen, Bofei Yang, Bofei Yang, Min Xia, Min Xia, Wei Li, Wei Li, Kecheng Yang, Kecheng Yang, Xiaohui Zhang, Xiaohui Zhang, } "Model-based super-resolution reconstruction techniques for underwater imaging", Proc. SPIE 8332, Photonics and Optoelectronics Meetings (POEM) 2011: Optoelectronic Sensing and Imaging, 83320G (17 February 2012); doi: 10.1117/12.918997; https://doi.org/10.1117/12.918997
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