NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) Pub Date : 2023-06-01 DOI:10.1109/CVPRW59228.2023.00180

C. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, R. Timofte, Han Zhou, Wei Dong, Yangyi Liu, Jun Chen, Huan Liu, Liangyan Li, Zijun Wu, Yubo Dong, Yuyang Li, Tian Qiu, Yuying He, Yonghong Lu, Yinwei Wu, Zhenxiang Jiang, Songhua Liu, Xingyi Yang, Yongcheng Jing, Bilel Benjdira, Anas M. Ali, A. Koubâa, Hao-Hsiang Yang, I-Hsiang Chen, Wei-Ting Chen, Zhi-Kai Huang, Yi-Chung Chen, Chia-Hsuan Hsieh, Hua-En Chang, Yuan Chiang, Sy-Yen Kuo, Yu Guo, Yuan Gao, R. Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren, Trung Hoang, Haichuan Zhang, Amirsaeed Yazdani, V. Monga, Lehan Yang, Alex Wu, Tiancheng Mai, Xiaofeng Cong, Xuemeng Yin, Xuefei Yin, Hazim Emad, Ahmed Abdallah, Y. Yasser, Dalia Elshahat, Esraa Elbaz, Zhan-ying Li, Wenqing Kuang, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas Bo Schön, Zhao Zhang, Yanyan Wei, Junhu Wang, Suiyi Zhao, Huan Zheng, Jinkang Guo, Ya Sun, T. Liu, D. Hao, Kui Jiang, Anjali Sarvaiya, Kalpesh P. Prajapati, R. Patra, Pragnesh Barik, C. Rathod, Kishor P. Upl

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引用次数: 1

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.

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2023年HR非均匀除雾挑战报告

本研究评估了NTIRE 2023非均匀除雾挑战的结果，其中提出了新技术，并在名为HD-NH-HAZE的新图像数据集上进行了评估。HD-NH-HAZE数据集包含50对高分辨率的真实户外图像，这些图像具有相同场景的非均匀雾霾图像和相应的无雾霾图像。使用专业的设置来模拟非均匀雾霾，该设置复制了雾霾场景的真实条件。比赛共有246名参与者，17支队伍提交了最终测试阶段的解决方案。所提出的解决方案展示了图像去雾技术的前沿。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

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