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NTIRE 2020 Challenge on NonHomogeneous Dehazing

Authors :
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
Mandal, Murari
Publication Year :
2020

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.<br />Comment: CVPR Workshops Proceedings 2020

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2005.03457
Document Type :
Working Paper