Paper
8 February 2017 Two-stage underwater image restoration based on a physical model
Nan Wang, Lin Qi, Junyu Dong, Hao Fan, Xingnan Chen, Hui Yu
Author Affiliations +
Proceedings Volume 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016); 102250R (2017) https://doi.org/10.1117/12.2266488
Event: Eighth International Conference on Graphic and Image Processing, 2016, Tokyo, Japan
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nan Wang, Lin Qi, Junyu Dong, Hao Fan, Xingnan Chen, and Hui Yu "Two-stage underwater image restoration based on a physical model", Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 102250R (8 February 2017); https://doi.org/10.1117/12.2266488
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Cited by 4 scholarly publications.
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KEYWORDS
Backscatter

Image restoration

Image processing

Light scattering

Signal attenuation

Binary data

Scattering

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