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Proceedings Paper

Two-stage underwater image restoration based on a physical model
Author(s): Nan Wang; Lin Qi; Junyu Dong; Hao Fan; Xingnan Chen; Hui Yu
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Paper Abstract

Underwater images are blurred due to light scattering and absorption. Image restoration is therefore important in many underwater research and practical tasks. In this paper, we propose an effective two-stage method to restore underwater scene images. Based on an underwater light propagation model, we first remove backscatter by fitting a binary quadratic function. Then we eliminate the forward scattering and non-uniform lighting attenuation using blue-green dark channel prior. The proposed method requires no additional calibration and we show its effectiveness and robustness by restoring images captured under various underwater scenes.

Paper Details

Date Published: 8 February 2017
PDF: 6 pages
Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 102250R (8 February 2017); doi: 10.1117/12.2266488
Show Author Affiliations
Nan Wang, Ocean Univ. of China (China)
Lin Qi, Ocean Univ. of China (China)
Junyu Dong, Ocean Univ. of China (China)
Hao Fan, Ocean Univ. of China (China)
Xingnan Chen, Ocean Univ. of China (China)
Hui Yu, Univ. of Portsmouth (United Kingdom)


Published in SPIE Proceedings Vol. 10225:
Eighth International Conference on Graphic and Image Processing (ICGIP 2016)
Yulin Wang; Tuan D. Pham; Vit Vozenilek; David Zhang; Yi Xie, Editor(s)

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