Multiple-feature fusion based generative adversarial network for image dehazing

To enhance image clarity and address the difficulties in feature extraction and incomplete haze removal in traditional image dehazing processes, a multi-feature fusion based generative adversarial dehazing network is proposed.The network adopts a generative adversarial approach and consists of a gen...

Full description

Bibliographic Details

Published in:	大数据
Main Authors:	Yazhong SI, Xulong ZHANG, Fan YANG, Jianzong WANG, Ning CHENG, Jing XIAO
Format:	Article
Language:	Chinese
Published:	China InfoCom Media Group 2024-07-01
Subjects:	image processing;image dehazing;deep learning;generative adversarial;multiple feature fusion
Online Access:	http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2024047