Enhancement of Underwater Images by CNN-Based Color Balance and Dehazing

Enhancement of Underwater Images by CNN-Based Color Balance and Dehazing

Convolutional neural networks (CNNs) are employed to achieve the color balance and dehazing of degraded underwater images. In the module of color balance, an underwater generative adversarial network (UGAN) is constructed. The mapping relationship between underwater images with color deviation and c...

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Bibliographic Details
Main Authors: Shidong Zhu, Weilin Luo, Shunqiang Duan
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Electronics
Subjects:
underwater image
convolutional neural network
color
dehazing
contrast
Online Access:https://www.mdpi.com/2079-9292/11/16/2537

Internet

https://www.mdpi.com/2079-9292/11/16/2537

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