Proceedings Article10.1117/12.898914
Multi-frame underwater image restoration
Andrey V. Kanaev,Weilin Hou,Sarah Woods +2 more
- 28 Sep 2011
- Vol. 8185, pp 208-215
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TL;DR: In this paper, a multi-frame image restoration algorithm is applied to sets of images collected in laboratory under controlled conditions as well as field test data, which represents synthesis of "lucky region" fusion and optical flow based image warping.
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Abstract: Ability to image underwater is highly desired for scientific and military applications, including optical
communications, submarine awareness, diver visibility, and mine detection. Underwater imaging is severely
impaired by scattering and optical turbulence associated with refraction index fluctuations. This work introduces
novel approach to restoration of degraded underwater imagery based on multi-frame correction technique developed
for atmospheric distortions. The method represents synthesis of "lucky-region" fusion and optical flow based image
warping. Developed multi-frame image restoration algorithm is applied to sets of images collected in laboratory
under controlled conditions as well as field test data. Reliance of image restoration on sophistication of the optical
flow algorithm is shown. Variable degrees of image degradation mitigation which manifest themselves as high
spatial frequency content recovery are demonstrated depending on imaging conditions and ratio of typical image
spatial frequency scale to typical degradation spatial frequency scale.
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Citations
Water-Air Interface Imaging: Recovering the Images Distorted by Surface Waves via an Efficient Registration Algorithm
TL;DR: Wang et al. as mentioned in this paper proposed an efficient reconstruction scheme that combines lucky-patch search and image registration technologies, which significantly outperforms the state-of-the-art methods in terms of sharpness and contrast.
Underwater image quality degradation by scattering
Weilin Hou,Wesley Goode,Andrey V. Kanaev +2 more
- 21 May 2012
TL;DR: In this paper, the spatial coherence length is a direct proxy to optical turbulence strength, while including the static scattering contributions with previous developed underwater image quality metric, which shows very good agreement with the structure similarity image metric, as well as visual, subjective validation, using images obtained from both lab and field experiments.
Seeing through Wavy Water-Air Interface: A Restoration Model for Instantaneous Images Distorted by Surface Waves
TL;DR: Zhang et al. as mentioned in this paper proposed an image recovery model via structured light projection, which can overcome the influence of changes in natural illumination conditions for WAI reconstruction, but also can significantly reduce the distortion and achieve better performance.
3
A turbulence image restoration approach for visual inspection of nuclear power plants
Wenjun Chen,Zhen Zhang +1 more
- 24 Jul 2018
TL;DR: The experimental result shows that the method can well realize restoration of images affected by turbulence and obtain a satisfactory effect, which can help the operator to carry out the visual inspection which underwater camera is used to achieve more accurate operation information of the fuel reloading.
2
Non-rigid distortion correction for underwater images
Bian Gao,Xiangchu Feng,Tingting Qi,Xiaofang Li +3 more
TL;DR: This paper presents a non-rigid distortion correction method for underwater images, deriving a relationship between average optical flow fields and proposing an iterative initialization method to alleviate the impact of limited frames and mitigate errors.
1
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