NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results

被引：45

作者：

Abdelhamed, Abdelrahman ^{[1
]}

Afifi, Mahmoud ^{[1
]}

Timofte, Radu ^{[2
]}

Brown, Michael S. ^{[1
]}

Cao, Yue ^{[3
]}

Zhang, Zhilu ^{[3
]}

Zuo, Wangmeng ^{[3
]}

Zhang, Xiaoling ^{[4
]}

Liu, Jiye ^{[4
]}

Chen, Wendong ^{[4
]}

Wen, Changyuan ^{[4
]}

Liu, Meng ^{[4
]}

Lv, Shuailin ^{[4
]}

Zhang, Yunchao ^{[4
]}

Pan, Zhihong ^{[5
]}

Li, Baopu ^{[5
]}

Xi, Teng ^{[6
]}

Fan, Yanwen ^{[6
]}

Yu, Xiyu ^{[6
]}

Zhang, Gang ^{[6
]}

Liu, Jingtuo ^{[6
]}

Han, Junyu ^{[6
]}

Ding, Errui ^{[6
]}

Yu, Songhyun ^{[7
]}

Park, Bumjun ^{[7
]}

Jeong, Jechang ^{[7
]}

Liu, Shuai ^{[8
]}

Zong, Ziyao ^{[8
]}

Nan, Nan ^{[8
]}

Li, Chenghua ^{[9
]}

Yang, Zengli ^{[10
]}

Bao, Long ^{[10
]}

Wang, Shuangquan ^{[10
]}

Bai, Dongwoon ^{[10
]}

Lee, Jungwon ^{[10
]}

Kim, Youngjung ^{[11
]}

Rho, Kyeongha ^{[11
]}

Shin, Changyeop ^{[11
]}

Kim, Sungho ^{[11
]}

Tang, Pengliang ^{[12
]}

Zhao, Yiyun ^{[12
]}

Zhou, Yuqian ^{[13
]}

Fan, Yuchen ^{[13
]}

Huang, Thomas ^{[13
]}

Li, Zhihao ^{[14
]}

Shah, Nisarg A. ^{[15
]}

Liu, Wei ^{[3
,16
]}

Yan, Qiong ^{[3
,16
]}

Zhao, Yuzhi ^{[3
,16
]}

Mozejko, Marcin ^{[17
]}

机构：

[1] York Univ, York, N Yorkshire, England

[2] Swiss Fed Inst Technol, Zurich, Switzerland

[3] Harbin Inst Technol, Harbin, Peoples R China

[4] Huawei, Shenzhen, Peoples R China

[5] Baidu Res, Seattle, WA USA

[6] Baidu Inc, Dept Comp Vis Technol VIS, Beijing, Peoples R China

[7] Hanyang Univ, Seoul, South Korea

[8] North China Univ Technol, Beijing, Peoples R China

[9] Chinese Acad Sci, Inst Automat, Beijing, Peoples R China

[10] Samsung Semicond Inc, San Jose, CA USA

[11] Agcy Def Dev, Seoul, South Korea

[12] Beijing Univ Posts & Telecommun, Beijing, Peoples R China

[13] Univ Illinois, Champaign, IL USA

[14] Nanjing Univ, Nanjing, Peoples R China

[15] Indian Inst Technol, Jodhpur, Rajasthan, India

[16] SenseTime Res, Hong Kong, Peoples R China

[17] TCL Res Europe, Warsaw, Poland

[18] BOE, Artificial Intelligence & Big Data Res Inst, Beijing, Peoples R China

[19] Seoul Natl Univ, Seoul, South Korea

[20] ST Unitas, Seoul, South Korea

[21] Ewha Womans Univ, Seoul, South Korea

[22] Couger Inc, Tokyo, Japan

[23] Zhejiang Univ, Hangzhou, Peoples R China

[24] Nanjing Univ Aeronaut & Astronaut, Nanjing, Peoples R China

[25] Harbin Inst Technol Shenzhen, Shenzhen, Peoples R China

[26] Huawei Technol Res & Dev UK Ltd, Noahs Ark Lab London, London, England

[27] Dahua Technol, Hangzhou, Peoples R China

[28] Indian Inst Technol Kharagpur, Kharagpur, W Bengal, India

来源：

2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2020) | 2020年

关键词：

NOISE; CNN;

D O I：

10.1109/CVPRW50498.2020.00256

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 similar to 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.

引用

页码：2077 / 2088

页数：12

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