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Reconstruction of underwater images with distortion using robust image registration
Author(s): Xu Yang; Zhen Zhang
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Paper Abstract

When imaging through an undulating clear water surface, a complex series of refractions and reflections occur throughout the imaging path, and light rays are bent by unknown amounts. So the captured images usually contain severe geometric distortions. In this paper, an iterative robust registration algorithm is employed to remove the distortions in frames by registering each frame to a reference image. As the traditional image registration algorithm is impeded by the severely blur mean, we decide to reconstruct a high quality reference as the surrogate of the mean. We first select the image patches with higher quality from the distorted sequence to reconstruct a single image. In the patches selection process, the image quality of patches is evaluated from sharpness and geometric distortion. Then the blind deconvolution technique is employed to deblur the image, which will be used as a reference of the next registration process. Experiment shows that the proposed algorithm performs well in restoring the distorted underwater images and has less computational time than the state-of-the-art method.

Paper Details

Date Published: 16 October 2019
PDF: 6 pages
Proc. SPIE 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 112050L (16 October 2019); doi: 10.1117/12.2541667
Show Author Affiliations
Xu Yang, 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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