Revitalizing image dehazing in the real world:A high-quality dataset and a customized methodOA
Revitalizing image dehazing in the real world:A high-quality dataset and a customized method
Yong Liu;Qingji Dong;Chao Zhu;Yu Guo;Fei Wang
National Key Laboratory of Human-Machine Hybrid Augmented Intelligence,National Engineering Research Center of Visual Information and Applications,Institute of Artificial Intelligence and Robotics,Xi'an Jiaotong University,Xi'an 710000,ChinaNational Key Laboratory of Human-Machine Hybrid Augmented Intelligence,National Engineering Research Center of Visual Information and Applications,Institute of Artificial Intelligence and Robotics,Xi'an Jiaotong University,Xi'an 710000,ChinaNational Key Laboratory of Human-Machine Hybrid Augmented Intelligence,National Engineering Research Center of Visual Information and Applications,Institute of Artificial Intelligence and Robotics,Xi'an Jiaotong University,Xi'an 710000,ChinaNational Key Laboratory of Human-Machine Hybrid Augmented Intelligence,National Engineering Research Center of Visual Information and Applications,Institute of Artificial Intelligence and Robotics,Xi'an Jiaotong University,Xi'an 710000,ChinaNational Key Laboratory of Human-Machine Hybrid Augmented Intelligence,National Engineering Research Center of Visual Information and Applications,Institute of Artificial Intelligence and Robotics,Xi'an Jiaotong University,Xi'an 710000,China
image dehazingimage enhancementprior-based learningsemi-supervised learning
image dehazingimage enhancementprior-based learningsemi-supervised learning
《计算可视媒体（英文）》 2025 (4)
833-848,16
This work was supported in part by the National Major Science and Technology Projects of China(2009XJTU0016).
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