A fourth order P_Laplace underwater image restoration method based on MSG

2014 ◽  
Author(s):  
Tingting Ji ◽  
Guoyu Wang ◽  
Xiaolong Cheng ◽  
Guangrong Ji ◽  
Tianhong Ya
Keyword(s):  
Image Restoration ◽  
Fourth Order ◽  
Underwater Image ◽  
Restoration Method

Underwater Image Restoration Method Based on Scene Depth Estimation and White Balance

2019 ◽  
Vol 56 (3) ◽  
pp. 031008
Author(s):  
蔡晨东 Cai Chendong ◽  
霍冠英 Huo Guanying ◽  
周妍 Zhou Yan ◽  
韩辉 Han Hui
Keyword(s):  
Image Restoration ◽  
Depth Estimation ◽  
White Balance ◽  
Underwater Image ◽  
Restoration Method ◽  
Scene Depth

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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