NTIRE 2020 Challenge on NonHomogeneous Dehazing
C. Ancuti
Cosmin Ancuti
Florin-Alexandru Vasluianu
Radu Timofte
Jing Liu
Haiyan Wu
Yuan Xie
Yanyun Qu
Lizhuang Ma
Ziling Huang
Qili Deng
Ju-Chin Chao
Tsung-Shan Yang
Peng-Wen Chen
Po-Min Hsu
Tzu-Yi Liao
Chung-En Sun
Pei-Yuan Wu
Jeonghyeok Do
Jongmin Park
Munchurl Kim
Kareem M. Metwaly
Xuelu Li
Tiantong Guo
V. Monga
Mingzhao Yu
V. Cherukuri
S. Chuang
Tsung-Nan Lin
David Lee
Jerome Chang
Zhan-Han Wang
Yu-Bang Chang
Chang-Hong Lin
Yu Dong
Hongyu Zhou
Xiangzhen Kong
Sourya Dipta Das
S. Dutta
Xuan Zhao
B. Ouyang
Dennis C. Estrada
Meiqi Wang
Tianqi Su
Siyi Chen
Bangyong Sun
Vincent Jacob Whannou de Dravo
Zhe Yu
Pratik Narang
A. Mehra
Navaneeth Raghunath
Murari Mandal

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.
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