NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report
Journal
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Journal Volume
2023-June
ISBN
9798350302493
Date Issued
2023-01-01
Author(s)
Ancuti, Codruta O.
Ancuti, Cosmin
Vasluianu, Florin Alexandru
Timofte, Radu
Zhou, Han
Dong, Wei
Liu, Yangyi
Chen, Jun
Liu, Huan
Li, Liangyan
Wu, Zijun
Dong, Yubo
Li, Yuyan
Qiu, Tian
He, Yu
Lu, Yonghong
Wu, Yinwei
Jiang, Zhenxiang
Liu, Songhua
Yang, Xingyi
Jing, Yongcheng
Benjdira, Bilel
Ali, Anas M.
Koubaa, Anis
Yang, Hao Hsiang
Chen, I. Hsiang
WEI-TING CHEN
Huang, Zhi Kai
Chen, Yi Chung
Hsieh, Chia Hsuan
Chang, Hua En
Chiang, Yuan Chun
Guo, Yu
Gao, Yuan
Liu, Ryan Wen
Lu, Yuxu
Qu, Jingxiang
He, Shengfeng
Ren, Wenqi
Hoang, Trung
Zhang, Haichuan
Yazdani, Amirsaeed
Monga, Vishal
Yang, Lehan
Wu, Alex Jiahao
Mai, Tiancheng
Cong, Xiaofeng
Yin, Xuemeng
Yin, Xuefei
Emad, Hazim
Abdallah, Ahmed
Yasser, Yahya
Elshahat, Dalia
Elbaz, Esraa
Li, Zhan
Kuang, Wenqing
Luo, Ziwei
Gustafsson, Fredrik K.
Zhao, Zheng
Sjölund, Jens
Schön, Thomas B.
Zhang, Zhao
Wei, Yanyan
Wang, Junhu
Zhao, Suiyi
Zheng, Huan
Guo, Jin
Sun, Yangfan
Liu, Tianli
Hao, Dejun
Jiang, Kui
Sarvaiya, Anjali
Prajapati, Kalpesh
Patra, Ratnadeep
Barik, Pragnesh
Rathod, Chaitanya
Upla, Kishor
Raja, Kiran
Ramachandra, Raghavendra
Busch, Christoph
Abstract
This study assesses the outcomes of the NTIRE 2023 Challenge on Non-Homogeneous Dehazing, wherein novel techniques were proposed and evaluated on new image dataset called HD-NH-HAZE. The HD-NH-HAZE dataset contains 50 high resolution pairs of real-life outdoor images featuring nonhomogeneous hazy images and corresponding haze-free images of the same scene. The nonhomogeneous haze was simulated using a professional setup that replicated real-world conditions of hazy scenarios. The competition had 246 participants and 17 teams submitted solutions for the final testing phase. The proposed solutions demonstrated the cutting-edge in image dehazing technology.
SDGs
Type
conference paper