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Proceedings Paper

Computational polarization difference underwater imaging based on image fusion
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Paper Abstract

Polarization difference imaging can improve the quality of images acquired underwater, whether the background and veiling light are unpolarized or partial polarized. Computational polarization difference imaging technique which replaces the mechanical rotation of polarization analyzer and shortens the time spent to select the optimum orthogonal ǁ and ⊥axes is the improvement of the conventional PDI. But it originally gets the output image by setting the weight coefficient manually to an identical constant for all pixels. In this paper, a kind of algorithm is proposed to combine the Q and U parameters of the Stokes vector through pixel-level image fusion theory based on non-subsample contourlet transform. The experimental system built by the green LED array with polarizer to illuminate a piece of flat target merged in water and the CCD with polarization analyzer to obtain target image under different angle is used to verify the effect of the proposed algorithm. The results showed that the output processed by our algorithm could show more details of the flat target and had higher contrast compared to original computational polarization difference imaging.

Paper Details

Date Published: 5 January 2017
PDF: 7 pages
Proc. SPIE 10244, International Conference on Optoelectronics and Microelectronics Technology and Application, 102440U (5 January 2017); doi: 10.1117/12.2264269
Show Author Affiliations
Hongwei Han, Naval Univ. of Engineering (China)
Xiaohui Zhang, Naval Univ. of Engineering (China)
Feng Guan, Naval Univ. of Engineering (China)


Published in SPIE Proceedings Vol. 10244:
International Conference on Optoelectronics and Microelectronics Technology and Application
Shaohua Yu; Jose Capmany; Yi Luo; Yikai Su; Songlin Zhuang; Yue Hao; Akihiko Yoshikawa; Chongjin Xie; Yoshiaki Nakano, Editor(s)

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