Low-illumination underwater image enhancement based on Retinex and Dark Channel priori
Hao Yang, Lihong Niu, Yulei An, Binghua Su, Jiongjiang Chen, Zhuang Zhou · 2022
For the problem of low-illumination underwater images caused by the use of filters, we provide an algorithm for image enhancement based on multiscale Retinex and Dark channel priori. First, we use the multi-scale Retinex algorithm for color correction. Second, we use a modified Dark channel priori algorithm for the defogging process. We acquired some underwater images and compared them with classical image processing algorithms, and the results show that our algorithm improves image brightness and contrast.