论文标题

NTIRE 2020挑战非均匀飞机的挑战

NTIRE 2020 Challenge on NonHomogeneous Dehazing

论文作者

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

论文摘要

本文回顾了NTIRE 2020挑战图像非均匀飞行的挑战(在朦胧的图像中恢复了丰富的细节)。我们专注于提出的解决方案及其在NH-Haze上评估的结果,NH-Haze是一个新型数据集,该数据集由55对真实的无雾和非均匀的朦胧图像组成。 NH-Haze是第一个提供基础真相图像的现实性非均匀数据集。非均匀的雾度是使用专业的雾霾发生器生产的,该发电机模仿了雾霾场景的真实条件。在挑战赛中注册了168名参与者,并在最终测试阶段参加了比赛。拟议的解决方案衡量了图像除尘中最新的解决方案。

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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