A multi-color and multistage collaborative network guided by refined transmission prior for underwater image enhancement

• Published in: The Visual computer Vol. 40; no. 11; pp. 7905 - 7923
• Main Authors: Ouyang, Ting, Zhang, Yongjun, Zhao, Haoliang, Cui, Zhongwei, Yang, Yitong, Xu, Yujie
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2024; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Collaboration; Color; Computer Graphics; Computer Science; Controllability; Deep learning; Deviation; Image contrast; Image enhancement; Image Processing and Computer Vision; Image quality; Image transmission; Low pass filters; Machine learning; Original Article; Parameter estimation; Saturation (color); Underwater; Physical-inconsistency loss; Underwater image enhancement; Transmission prior derivation; Multistage and multi-color space collaborative network

Due to the attenuation and scattering properties of light in underwater scenes, underwater images are generally subject to color deviations and low contrast, which is not conducive to the follow-up algorithms. To alleviate these two problems, we propose a multi-color and multistage collaborative net...