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Proceedings Paper

Image restoration in water turbulence using image registration and blind deconvolution
Author(s): Changxin He; Zhen Zhang
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Paper Abstract

When image through water turbulence, captured images will appear severe geometrical distortion. Restoration of image with unknown geometrical distortion is a challenging problem. In this paper, we propose an iterative method to acquire a geometrically corrected high-quality image from an observed video sequence which contains serious geometrical distortion. Firstly, we use a blind deconvolution method to deblur the temporal mean image of the observed video sequence. Next, an image registration based on B-spline is employed to obtain a new video sequence with less geometrical distortion. After several iterative computations of deconvolution and registration, we carry out a robust principal component analysis to remove residual noise of latest video sequence. Finally, a single geometrically corrected image is acquired by a temporal mean operation on final video sequence. Experimental results demonstrate that our proposed method is capable to greatly remove geometrical distortion in video sequence.

Paper Details

Date Published: 16 October 2019
PDF: 6 pages
Proc. SPIE 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 112051E (16 October 2019); doi: 10.1117/12.2542768
Show Author Affiliations
Changxin He, Shanghai Univ. (China)
Zhen Zhang, Shanghai Univ. (China)

Published in SPIE Proceedings Vol. 11205:
Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019)
Anand Asundi; Motoharu Fujigaki; Huimin Xie; Qican Zhang; Song Zhang; Jianguo Zhu; Qian Kemao, Editor(s)

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