NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
Abstract
This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results. The challenge is a new version of the previous NTIRE 2019 challenge on real image denoising that was based on the SIDD benchmark. This challenge is based on a newly collected validation and testing image datasets, and hence, named SIDD+. This challenge has two tracks for quantitatively evaluating image denoising performance in (1) the Bayer-pattern rawRGB and (2) the standard RGB (sRGB) color spaces. Each track ~250 registered participants. A total of 22 teams, proposing 24 methods, competed in the final phase of the challenge. The proposed methods by the participating teams represent the current state-of-the-art performance in image denoising targeting real noisy images. The newly collected SIDD+ datasets are publicly available at: https://bit.ly/siddplus_data.
Cite
Text
Abdelhamed et al. "NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020. doi:10.1109/CVPRW50498.2020.00256Markdown
[Abdelhamed et al. "NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020.](https://mlanthology.org/cvprw/2020/abdelhamed2020cvprw-ntire/) doi:10.1109/CVPRW50498.2020.00256BibTeX
@inproceedings{abdelhamed2020cvprw-ntire,
title = {{NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results}},
author = {Abdelhamed, Abdelrahman and Afifi, Mahmoud and Timofte, Radu and Brown, Michael S. and Cao, Yue and Zhang, Zhilu and Zuo, Wangmeng and Zhang, Xiaoling and Liu, Jiye and Chen, Wendong and Wen, Changyuan and Liu, Meng and Lv, Shuailin and Zhang, Yunchao and Pan, Zhihong and Li, Baopu and Xi, Teng and Fan, Yanwen and Yu, Xiyu and Zhang, Gang and Liu, Jingtuo and Han, Junyu and Ding, Errui and Yu, Songhyun and Park, Bumjun and Jeong, Jechang and Liu, Shuai and Zong, Ziyao and Nan, Nan and Li, Chenghua and Yang, Zengli and Bao, Long and Wang, Shuangquan and Bai, Dongwoon and Lee, Jungwon and Kim, Youngjung and Rho, Kyeongha and Shin, Changyeop and Kim, Sungho and Tang, Pengliang and Zhao, Yiyun and Zhou, Yuqian and Fan, Yuchen and Huang, Thomas S. and Li, Zhihao and Shah, Nisarg A. and Liu, Wei and Yan, Qiong and Zhao, Yuzhi and Mozejko, Marcin and Latkowski, Tomasz and Treszczotko, Lukasz and Szafraniuk, Michal and Trojanowski, Krzysztof and Wu, Yanhong and Michelini, Pablo Navarrete and Hu, Fengshuo and Lu, Yunhua and Kim, Sujin and Kim, Wonjin and Lee, Jaayeon and Choi, Jang-Hwan and Zhussip, Magauiya and Khassenov, Azamat and Kim, Jong Hyun and Cho, Hwechul and Kansal, Priya and Nathan, Sabari and Ye, Zhangyu and Lu, Xiwen and Wu, Yaqi and Yang, Jiangxin and Cao, Yanlong and Tang, Siliang and Cao, Yanpeng and Maggioni, Matteo and Marras, Ioannis and Tanay, Thomas and Slabaugh, Gregory G. and Yan, Youliang and Kang, Myungjoo and Choi, Han-Soo and Song, Kyungmin and Xu, Shusong and Lu, Xiaomu and Wang, Tingniao and Lei, Chunxia and Liu, Bin and Gupta, Rajat and Kumar, Vineet},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2020},
pages = {2077-2088},
doi = {10.1109/CVPRW50498.2020.00256},
url = {https://mlanthology.org/cvprw/2020/abdelhamed2020cvprw-ntire/}
}