An Underwater Image Enhancement Method for a Preprocessing Framework Based on Generative Adversarial Network

An Underwater Image Enhancement Method for a Preprocessing Framework Based on Generative Adversarial Network

This paper presents an efficient underwater image enhancement method, named ECO-GAN, to address the challenges of color distortion, low contrast, and motion blur in underwater robot photography. The proposed method is built upon a preprocessing framework using a generative adversarial network. ECO-G...

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Bibliographic Details
Main Authors: Xiao Jiang, Haibin Yu, Yaxin Zhang, Mian Pan, Zhu Li, Jingbiao Liu, Shuaishuai Lv
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
underwater image enhancement
convolutional neural network (CNN)
generative adversarial networks (GANs)
feature extraction
cross-stage fusion
Online Access:https://www.mdpi.com/1424-8220/23/13/5774

Internet

https://www.mdpi.com/1424-8220/23/13/5774

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