1. NTIRE 2020 Challenge on NonHomogeneous Dehazing
- Author
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Ancuti, Codruta O., Ancuti, Cosmin, Vasluianu, Florin-Alexandru, Timofte, Radu, Liu, Jing, Wu, Haiyan, Xie, Yuan, Qu, Yanyun, Ma, Lizhuang, Huang, Ziling, Deng, Qili, Chao, Ju-Chin, Yang, Tsung-Shan, Chen, Peng-Wen, Hsu, Po-Min, Liao, Tzu-Yi, Sun, Chung-En, Wu, Pei-Yuan, Do, Jeonghyeok, Park, Jongmin, Kim, Munchurl, Metwaly, Kareem, Li, Xuelu, Guo, Tiantong, Monga, Vishal, Yu, Mingzhao, Cherukuri, Venkateswararao, Chuang, Shiue-Yuan, Lin, Tsung-Nan, Lee, David, Chang, Jerome, Wang, Zhan-Han, Chang, Yu-Bang, Lin, Chang-Hong, Dong, Yu, Zhou, Hongyu, Kong, Xiangzhen, Das, Sourya Dipta, Dutta, Saikat, Zhao, Xuan, Ouyang, Bing, Estrada, Dennis, Wang, Meiqi, Su, Tianqi, Chen, Siyi, Sun, Bangyong, de Dravo, Vincent Whannou, Yu, Zhe, Narang, Pratik, Mehra, Aryan, Raghunath, Navaneeth, and Mandal, Murari
- Subjects
Computer Science - Computer Vision and Pattern Recognition - Abstract
This paper reviews the NTIRE 2020 Challenge on NonHomogeneous Dehazing of images (restoration of rich details in hazy image). We focus on the proposed solutions and their results evaluated on NH-Haze, a novel dataset consisting of 55 pairs of real haze free and nonhomogeneous hazy images recorded outdoor. NH-Haze is the first realistic nonhomogeneous haze dataset that provides ground truth images. The nonhomogeneous haze has been produced using a professional haze generator that imitates the real conditions of haze scenes. 168 participants registered in the challenge and 27 teams competed in the final testing phase. The proposed solutions gauge the state-of-the-art in image dehazing., Comment: CVPR Workshops Proceedings 2020
- Published
- 2020