Underwater Image Restoration Based on Improved Background Light Estimation and Automatic White Balance

Author(s):  
Changli Li ◽  
Xuan Zhang
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

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

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

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

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

2021 ◽  
Vol 9 (2) ◽  
pp. 225
Author(s):  
Farong Gao ◽  
Kai Wang ◽  
Zhangyi Yang ◽  
Yejian Wang ◽  
Qizhong Zhang

In this study, an underwater image enhancement method based on local contrast correction (LCC) and multi-scale fusion is proposed to resolve low contrast and color distortion of underwater images. First, the original image is compensated using the red channel, and the compensated image is processed with a white balance. Second, LCC and image sharpening are carried out to generate two different image versions. Finally, the local contrast corrected images are fused with sharpened images by the multi-scale fusion method. The results show that the proposed method can be applied to water degradation images in different environments without resorting to an image formation model. It can effectively solve color distortion, low contrast, and unobvious details of underwater images.


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