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Chun, Se Young
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dc.citation.conferencePlace US -
dc.citation.title IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) -
dc.contributor.author Abdelhamed, Abdelrahman -
dc.contributor.author Timofte, Radu -
dc.contributor.author Brown, Michael S. -
dc.contributor.author Yu, Songhyun -
dc.contributor.author Park, Bumjun -
dc.contributor.author Jeong, Jechang -
dc.contributor.author Jung, Seung-Won -
dc.contributor.author Kim, Dong-Wook -
dc.contributor.author Chung, Jae-Ryun -
dc.contributor.author Liu, Jiaming -
dc.contributor.author Wang, Yuzhi -
dc.contributor.author Wu, Chi-Hao -
dc.contributor.author Xu, Qin -
dc.contributor.author Zhou, Yuqian -
dc.contributor.author Wang, Chuan -
dc.contributor.author Cai, Shaofan -
dc.contributor.author Ding, Yifan -
dc.contributor.author Fan, Haoqiang -
dc.contributor.author Wang, Jue -
dc.contributor.author Zhang, Kai -
dc.contributor.author Zuo, Wangmeng -
dc.contributor.author Zhussip, Magauiya -
dc.contributor.author Park, Dong Won -
dc.contributor.author Soltanayev, Shakarim -
dc.contributor.author Chun, Se Young -
dc.contributor.author Xiong, Zhiwei -
dc.contributor.author Chen, Chang -
dc.contributor.author Haris, Muhammad -
dc.contributor.author Akita, Kazutoshi -
dc.contributor.author Yoshida, Tomoki -
dc.contributor.author Shakhnarovich, Greg -
dc.contributor.author Ukita, Norimichi -
dc.contributor.author Zamir, Syed Waqas -
dc.contributor.author Arora, Aditya -
dc.contributor.author Khan, Salman -
dc.contributor.author Khan, Fahad Shahbaz -
dc.contributor.author Shao, Ling -
dc.contributor.author Ko, Sung-Jea -
dc.contributor.author Lim, Dong-Pan -
dc.contributor.author Kim, Seung-Wook -
dc.contributor.author Ji, Seo-Won -
dc.contributor.author Lee, Sang-Won -
dc.contributor.author Tang, W -
dc.contributor.author Fan, Yuchen -
dc.contributor.author Liu, Ding -
dc.contributor.author Huang, Thomas S. -
dc.contributor.author Meng, Deyu -
dc.contributor.author Zhang, Lei -
dc.contributor.author Yong, Hongwei -
dc.contributor.author Zhao, Yiyun -
dc.contributor.author Tang, Pengliang -
dc.contributor.author Lu, Yue -
dc.contributor.author Schettini, Raimondo -
dc.contributor.author Bianco, Simone -
dc.contributor.author Zini, Simone -
dc.contributor.author Li, Chi -
dc.contributor.author Wang, Yang -
dc.contributor.author Cao, Zhiguo -
dc.date.accessioned 2024-02-01T00:08:38Z -
dc.date.available 2024-02-01T00:08:38Z -
dc.date.created 2020-01-08 -
dc.date.issued 2019-06-17 -
dc.description.abstract This paper reviews the NTIRE 2019 challenge on real image denoising with focus on the proposed methods and their results. The challenge has two tracks for quantitatively evaluating image denoising performance in (1) the Bayer- pattern raw-RGB and (2) the standard RGB (sRGB) color
spaces. The tracks had 216 and 220 registered participants, respectively. A total of 15 teams, proposing 17 methods, competed in the final phase of the challenge. The proposed methods by the 15 teams represent the current state-of-the- art performance in image denoising targeting real noisy im- ages.
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dc.identifier.bibliographicCitation IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) -
dc.identifier.scopusid 2-s2.0-85081934997 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/79658 -
dc.publisher IEEE/CVF -
dc.title NTIRE 2019 Challenge on Real Image Denoising: Methods and Results -
dc.type Conference Paper -
dc.date.conferenceDate 2019-06-16 -

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