NTIRE 2021 challenge on image deblurring

NTIRE 2021 team

doi:10.1109/CVPRW53098.2021.00025

NTIRE 2021 challenge on image deblurring

NTIRE 2021 team

School of Integrated Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

68 Citations (Scopus)

Abstract

Motion blur is a common photography artifact in dynamic environments that typically comes jointly with the other types of degradation. This paper reviews the NTIRE 2021 Challenge on Image Deblurring. In this challenge report, we describe the challenge specifics and the evaluation results from the 2 competition tracks with the proposed solutions. While both the tracks aim to recover a high-quality clean image from a blurry image, different artifacts are jointly involved. In track 1, the blurry images are in a low resolution while track 2 images are compressed in JPEG format. In each competition, there were 338 and 238 registered participants and in the final testing phase, 18 and 17 teams competed. The winning methods demonstrate the state-of-the-art performance on the image deblurring task with the jointly combined artifacts.

Original language	English
Title of host publication	Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021
Publisher	IEEE Computer Society
Pages	149-165
Number of pages	17
ISBN (Electronic)	9781665448994
DOIs	https://doi.org/10.1109/CVPRW53098.2021.00025
Publication status	Published - 2021 Jun
Event	2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021 - Virtual, Online, United States Duration: 2021 Jun 19 → 2021 Jun 25

Publication series

Name	IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
ISSN (Print)	2160-7508
ISSN (Electronic)	2160-7516

Conference

Conference	2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021
Country/Territory	United States
City	Virtual, Online
Period	21/6/19 → 21/6/25

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

All Science Journal Classification (ASJC) codes

Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

Access to Document

10.1109/CVPRW53098.2021.00025

Cite this

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title = "NTIRE 2021 challenge on image deblurring",

abstract = "Motion blur is a common photography artifact in dynamic environments that typically comes jointly with the other types of degradation. This paper reviews the NTIRE 2021 Challenge on Image Deblurring. In this challenge report, we describe the challenge specifics and the evaluation results from the 2 competition tracks with the proposed solutions. While both the tracks aim to recover a high-quality clean image from a blurry image, different artifacts are jointly involved. In track 1, the blurry images are in a low resolution while track 2 images are compressed in JPEG format. In each competition, there were 338 and 238 registered participants and in the final testing phase, 18 and 17 teams competed. The winning methods demonstrate the state-of-the-art performance on the image deblurring task with the jointly combined artifacts.",

author = "{NTIRE 2021 team} and Seungjun Nah and Sanghyun Son and Suyoung Lee and Radu Timofte and Lee, {Kyoung Mu} and Zhiwei Xiong and Ruikang Xu and Zeyu Xiao and Jie Huang and Yueyi Zhang and Liangyu Chen and Jie Zhang and Xin Lu and Xiaojie Chu and Chengpeng Chen and Si Xi and Jia Wei and Haoran Bai and Songsheng Cheng and Hao Wei and Long Sun and Jinhui Tang and Jinshan Pan and Donghyeon Lee and Chulhee Lee and Taesung Kim and Xiaobing Wang and Dafeng Zhangr and Zhihong Pan and Tianwei Lin and Wenhao Wu and Dongliang He and Baopu Li and Boyun Li and Teng Xi and Gang Zhang and Jingtuo Liu and Junyu Han and Errui Ding and Guangping Tao and Wenqing Chu and Yun Cao and Donghao Luo and Ying Tai and Tong Lu and Chengjie Wang and Jilin Li and Feiyue Huang and Hanting Chen and Lee, {Jong Seok}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021 ; Conference date: 19-06-2021 Through 25-06-2021",

year = "2021",

month = jun,

doi = "10.1109/CVPRW53098.2021.00025",

language = "English",

series = "IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops",

publisher = "IEEE Computer Society",

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booktitle = "Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021",

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NTIRE 2021 team 2021, NTIRE 2021 challenge on image deblurring. in Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, IEEE Computer Society, pp. 149-165, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021, Virtual, Online, United States, 21/6/19. https://doi.org/10.1109/CVPRW53098.2021.00025

NTIRE 2021 challenge on image deblurring. / NTIRE 2021 team.
Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021. IEEE Computer Society, 2021. p. 149-165 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Nah, Seungjun

AU - Son, Sanghyun

AU - Lee, Suyoung

AU - Timofte, Radu

AU - Lee, Kyoung Mu

AU - Xiong, Zhiwei

AU - Xu, Ruikang

AU - Xiao, Zeyu

AU - Huang, Jie

AU - Zhang, Yueyi

AU - Chen, Liangyu

AU - Zhang, Jie

AU - Lu, Xin

AU - Chu, Xiaojie

AU - Chen, Chengpeng

AU - Xi, Si

AU - Wei, Jia

AU - Bai, Haoran

AU - Cheng, Songsheng

AU - Wei, Hao

AU - Sun, Long

AU - Tang, Jinhui

AU - Pan, Jinshan

AU - Lee, Donghyeon

AU - Lee, Chulhee

AU - Kim, Taesung

AU - Wang, Xiaobing

AU - Zhangr, Dafeng

AU - Pan, Zhihong

AU - Lin, Tianwei

AU - Wu, Wenhao

AU - He, Dongliang

AU - Li, Baopu

AU - Li, Boyun

AU - Xi, Teng

AU - Zhang, Gang

AU - Liu, Jingtuo

AU - Han, Junyu

AU - Ding, Errui

AU - Tao, Guangping

AU - Chu, Wenqing

AU - Cao, Yun

AU - Luo, Donghao

AU - Tai, Ying

AU - Lu, Tong

AU - Wang, Chengjie

AU - Li, Jilin

AU - Huang, Feiyue

AU - Chen, Hanting

AU - Lee, Jong Seok

PY - 2021/6

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N2 - Motion blur is a common photography artifact in dynamic environments that typically comes jointly with the other types of degradation. This paper reviews the NTIRE 2021 Challenge on Image Deblurring. In this challenge report, we describe the challenge specifics and the evaluation results from the 2 competition tracks with the proposed solutions. While both the tracks aim to recover a high-quality clean image from a blurry image, different artifacts are jointly involved. In track 1, the blurry images are in a low resolution while track 2 images are compressed in JPEG format. In each competition, there were 338 and 238 registered participants and in the final testing phase, 18 and 17 teams competed. The winning methods demonstrate the state-of-the-art performance on the image deblurring task with the jointly combined artifacts.

AB - Motion blur is a common photography artifact in dynamic environments that typically comes jointly with the other types of degradation. This paper reviews the NTIRE 2021 Challenge on Image Deblurring. In this challenge report, we describe the challenge specifics and the evaluation results from the 2 competition tracks with the proposed solutions. While both the tracks aim to recover a high-quality clean image from a blurry image, different artifacts are jointly involved. In track 1, the blurry images are in a low resolution while track 2 images are compressed in JPEG format. In each competition, there were 338 and 238 registered participants and in the final testing phase, 18 and 17 teams competed. The winning methods demonstrate the state-of-the-art performance on the image deblurring task with the jointly combined artifacts.

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M3 - Conference contribution

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EP - 165

BT - Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021

PB - IEEE Computer Society

T2 - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021

Y2 - 19 June 2021 through 25 June 2021

ER -

NTIRE 2021 challenge on image deblurring

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

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