Underwater image enhancement algorithm based on dark channel prior and underwater imaging model

• Main Authors: Sun Zhengping, Li Fubing, Yang Yuying
• Format: Article
• Language: English
• Published: EDP Sciences 2021-01-01
• Series: MATEC Web of Conferences
• Online Access: https://www.matec-conferences.org/articles/matecconf/pdf/2021/05/matecconf_cscns20_06033.pdf

The main reason for the degradation of the underwater image is the light absorption and scattering. The images are captured in the underwater environment often have some problems such as loss of image information, low contrast, and color distortion. In order to solve the above problems, this paper proposes an image enhancement method for the underwater environment. With the help of the underwater imaging model and dark channel prior theory, a new idea of adding transmission correction and color compensation to G and B color channels is proposed. Experimental results show that, compared with the traditional methods, this method has a better effect on the underwater image with less color deviation.