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...

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Bibliografski detalji

Glavni autori:	Yazhong SI, Xulong ZHANG, Fan YANG, Jianzong WANG, Ning CHENG, Jing XIAO
Format:	Artigo
Jezik:	Chinês
Izdano:	China InfoCom Media Group 2024-07-01
Serija:	大数据
Teme:	image processing;image dehazing;deep learning;generative adversarial;multiple feature fusion
Online pristup:	http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2024047
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