Depth-Conditioned GAN for Underwater Image Enhancement

Depth-Conditioned GAN for Underwater Image Enhancement

Autonomous underwater vehicles perceive environmental information relying on vision. However, the variety of the underwater environment always leads to image distortion. To effectively obtain color-corrected images that guarantee high sharpness and good content recovery, this paper proposes an algor...

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Bibliographic Details
Main Authors: Chao Wu, Zhen Liu, Lianlian Qian, Jiali Zhou
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Underwater image
image enhancement
generative adversarial network
deep learning
Online Access:https://ieeexplore.ieee.org/document/10345621/

Internet

https://ieeexplore.ieee.org/document/10345621/

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