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Unsupervised Bidirectional Contrastive Reconstruction and Adaptive Fine-Grained Channel Attention Networks for image dehazing.

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第一作者： Hang,Sun

第一单位： Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, 443002, China; College of Computer and Information Technology, China Three Gorges University, Yichang, 443002, China.

作者： Hang,Sun ^[1] ; Yang,Wen ^[1] ; Huijing,Feng ^[2] ; Yuelin,Zheng ^[3] ; Qi,Mei ^[4] ; Dong,Ren ^[1] ; Mei,Yu ^[1]

作者单位： Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, 443002, China; College of Computer and Information Technology, China Three Gorges University, Yichang, 443002, China. ^[1] Department of Thoracic Oncology, Cancer Center, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030002, China. ^[2] Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, 443002, China; College of Computer and Information Technology, China Three Gorges University, Yichang, 443002, China. Electronic address: zhengyuelin@ctgu.edu.cn. ^[3] Department of Thoracic Oncology, Cancer Center, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030002, China; Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. Electronic address: qimei@tjh.tjmu.edu.cn. ^[4]

关键词 Adaptive fine-grained Bidirectional contrastive reconstruction Channel attention Image dehazing Unsupervised

医学主题词图像处理, 计算机辅助(Image Processing, Computer-Assisted);算法(Algorithms);人类(Humans)

DOI 10.1016/j.neunet.2024.106314

PMID 38669785

发布时间 2024-06-16

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