Underwater Image Restoration Based on Background Light Estimation and Transmittance Optimization

2020 ◽  
Vol 57 (14) ◽  
pp. 141010
Author(s):  
刘玉珍 Liu Yuzhen ◽  
迟凯晨 Chi Kaichen ◽  
林森 Lin Sen
Keyword(s):  
Image Restoration ◽  
Background Light ◽  
Underwater Image

Underwater Image Restoration Based on Background Light Estimation and Dark Channel Prior

2018 ◽  
Vol 38 (1) ◽  
pp. 0101002 ◽  
Author(s):  
谢昊伶 Xie Haoling ◽  
彭国华 Peng Guohua ◽  
王凡 Wang Fan ◽  
杨成 Yang Cheng
Keyword(s):  
Image Restoration ◽  
Dark Channel Prior ◽  
Background Light ◽  
Underwater Image ◽  
Dark Channel

Underwater image restoration with adaptive background light estimation and non-local prior

2019 ◽  
Vol 27 (2) ◽  
pp. 499-510
Author(s):  
王一斌 WANG Yi-bin ◽  
尹诗白 YIN Shi-bai ◽  
吕卓纹 L Zhuo-wen
Keyword(s):  
Image Restoration ◽  
Background Light ◽  
Underwater Image ◽  
Non Local

Underwater Image Restoration Based on Light Attenuation Prior and Background Light Fusion

2021 ◽  
Vol 58 (8) ◽  
pp. 0810013
Author(s):  
林继强 Lin Jiqiang ◽  
郁梅 Yu Mei ◽  
徐海勇 Xu Haiyong ◽  
蒋刚毅 Jiang Gangyi
Keyword(s):  
Image Restoration ◽  
Light Attenuation ◽  
Background Light ◽  
Underwater Image

scholarly journals Underwater Image Restoration via Non-Convex Non-Smooth Variation and Thermal Exchange Optimization

2021 ◽  
Vol 9 (6) ◽  
pp. 570
Author(s):  
Qingliang Jiao ◽  
Ming Liu ◽  
Pengyu Li ◽  
Liquan Dong ◽  
Mei Hui ◽  
...  
Keyword(s):  
Image Restoration ◽  
Qualitative And Quantitative Analysis ◽  
Formation Model ◽  
High Quality ◽  
Thermal Exchange ◽  
Qualitative And Quantitative ◽  
Smooth Variation ◽  
Underwater Image ◽  
Dark Channel

The quality of underwater images is an important problem for resource detection. However, the light scattering and plankton in water can impact the quality of underwater images. In this paper, a novel underwater image restoration based on non-convex, non-smooth variation and thermal exchange optimization is proposed. Firstly, the underwater dark channel prior is used to estimate the rough transmission map. Secondly, the rough transmission map is refined by the proposed adaptive non-convex non-smooth variation. Then, Thermal Exchange Optimization is applied to compensate for the red channel of underwater images. Finally, the restored image can be estimated via the image formation model. The results show that the proposed algorithm can output high-quality images, according to qualitative and quantitative analysis.

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