DFFA-Net: A Differential Convolutional Neural Network for Underwater Optical Image Dehazing

DFFA-Net: A Differential Convolutional Neural Network for Underwater Optical Image Dehazing

This paper proposes DFFA-Net, a novel differential convolutional neural network designed for underwater optical image dehazing. DFFA-Net is obtained by deeply analyzing the factors that affect the quality of underwater images and combining the underwater light propagation characteristics. DFFA-Net i...

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Bibliographic Details
Main Authors: Xujia Hou, Feihu Zhang, Zewen Wang, Guanglei Song, Zijun Huang, Jinpeng Wang
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Electronics
Subjects:
deep learning
image dehazing
underwater image processing
image analysis
Online Access:https://www.mdpi.com/2079-9292/12/18/3876

Internet

https://www.mdpi.com/2079-9292/12/18/3876

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