UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results

Yuqian Zhou; Michael Kwan; Kyle Tolentino; Neil Emerton; Sehoon Lim; Tim Large; Lijiang Fu; Zhihong Pan; Baopu Li; Qirui Yang; Yihao Liu; Jigang Tang; Tao Ku; Shibin Ma; Bingnan Hu; Jiarong Wang; Densen Puthussery; P. S. Hrishikesh; Melvin Kuriakose; C. V. Jiji; Varun Sundar; Sumanth Hegde; Divya Kothandaraman; Kaushik Mitra; Akashdeep Jassal; Nisarg A. Shah; Sabari Nathan; Nagat Abdalla Esiad Rahel; Dafan Chen; Shichao Nie; Shuting Yin; Chengconghui Ma; Haoran Wang; Tongtong Zhao; Shanshan Zhao; Joshua Rego; Huaijin Chen; Shuai Li; Zhenhua Hu; Kin Wai Lau; Lai-Man Po; Dahai Yu; Yasar Abbas Ur Rehman; Yiqun Li; Lianping Xing

doi:10.1007/978-3-030-68238-5_26

UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results

Yuqian Zhou^*
, Michael Kwan
, Kyle Tolentino
, Neil Emerton
, Sehoon Lim
, Tim Large
, Lijiang Fu
, Zhihong Pan
, Baopu Li
, Qirui Yang
, Yihao Liu
, Jigang Tang
, Tao Ku
, Shibin Ma
, Bingnan Hu
, Jiarong Wang
, Densen Puthussery
, P. S. Hrishikesh
, Melvin Kuriakose
, C. V. Jiji

Varun Sundar, Sumanth Hegde, Divya Kothandaraman, Kaushik Mitra, Akashdeep Jassal, Nisarg A. Shah, Sabari Nathan, Nagat Abdalla Esiad Rahel, Dafan Chen, Shichao Nie, Shuting Yin, Chengconghui Ma, Haoran Wang, Tongtong Zhao, Shanshan Zhao, Joshua Rego, Huaijin Chen, Shuai Li, Zhenhua Hu, Kin Wai Lau, Lai-Man Po, Dahai Yu, Yasar Abbas Ur Rehman, Yiqun Li, Lianping Xing

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

30 Citations (Scopus)

Abstract

This paper is the report of the first Under-Display Camera (UDC) image restoration challenge in conjunction with the RLQ workshop at ECCV 2020. The challenge is based on a newly-collected database of Under-Display Camera. The challenge tracks correspond to two types of display: a 4k Transparent OLED (T-OLED) and a phone Pentile OLED (P-OLED). Along with about 150 teams registered the challenge, eight and nine teams submitted the results during the testing phase for each track. The results in the paper are state-of-the-art restoration performance of Under-Display Camera Restoration. Datasets and paper are available at https://yzhouas.github.io/projects/UDC/udc.html.

Original language	English
Title of host publication	Computer Vision – ECCV 2020 Workshops
Subtitle of host publication	Proceedings
Editors	Adrien Bartoli, Andrea Fusiello
Place of Publication	Cham
Publisher	Springer
Pages	337-351
Volume	Part V
ISBN (Electronic)	9783030682385
ISBN (Print)	9783030682378
DOIs	https://doi.org/10.1007/978-3-030-68238-5_26
Publication status	Published - Aug 2020
Event	16th European Conference on Computer Vision (ECCV 2020) - Virtual, Glasgow, United Kingdom Duration: 23 Aug 2020 → 28 Aug 2020 https://eccv2020.eu/

Publication series

Name	Lecture Notes in Computer Science
Volume	12539
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th European Conference on Computer Vision (ECCV 2020)
Abbreviated title	ECCV 2020
Place	United Kingdom
City	Glasgow
Period	23/08/20 → 28/08/20
Internet address	https://eccv2020.eu/

Bibliographical note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

Research Keywords

Debluring
Denoising
Image restoration
Under-display camera

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10.1007/978-3-030-68238-5_26

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Zhou, Y., Kwan, M., Tolentino, K., Emerton, N., Lim, S., Large, T., Fu, L., Pan, Z., Li, B., Yang, Q., Liu, Y., Tang, J., Ku, T., Ma, S., Hu, B., Wang, J., Puthussery, D., Hrishikesh, P. S., Kuriakose, M., ... Xing, L. (2020). UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results. In A. Bartoli, & A. Fusiello (Eds.), Computer Vision – ECCV 2020 Workshops: Proceedings (Vol. Part V, pp. 337-351). (Lecture Notes in Computer Science; Vol. 12539). Springer . https://doi.org/10.1007/978-3-030-68238-5_26

@inproceedings{1b46dd1c5c3b406fa1d0862dfe42b6d7,

title = "UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results",

abstract = "This paper is the report of the first Under-Display Camera (UDC) image restoration challenge in conjunction with the RLQ workshop at ECCV 2020. The challenge is based on a newly-collected database of Under-Display Camera. The challenge tracks correspond to two types of display: a 4k Transparent OLED (T-OLED) and a phone Pentile OLED (P-OLED). Along with about 150 teams registered the challenge, eight and nine teams submitted the results during the testing phase for each track. The results in the paper are state-of-the-art restoration performance of Under-Display Camera Restoration. Datasets and paper are available at https://yzhouas.github.io/projects/UDC/udc.html.",

keywords = "Debluring, Denoising, Image restoration, Under-display camera",

author = "Yuqian Zhou and Michael Kwan and Kyle Tolentino and Neil Emerton and Sehoon Lim and Tim Large and Lijiang Fu and Zhihong Pan and Baopu Li and Qirui Yang and Yihao Liu and Jigang Tang and Tao Ku and Shibin Ma and Bingnan Hu and Jiarong Wang and Densen Puthussery and Hrishikesh, \{P. S.\} and Melvin Kuriakose and Jiji, \{C. V.\} and Varun Sundar and Sumanth Hegde and Divya Kothandaraman and Kaushik Mitra and Akashdeep Jassal and Shah, \{Nisarg A.\} and Sabari Nathan and Rahel, \{Nagat Abdalla Esiad\} and Dafan Chen and Shichao Nie and Shuting Yin and Chengconghui Ma and Haoran Wang and Tongtong Zhao and Shanshan Zhao and Joshua Rego and Huaijin Chen and Shuai Li and Zhenhua Hu and Lau, \{Kin Wai\} and Lai-Man Po and Dahai Yu and Rehman, \{Yasar Abbas Ur\} and Yiqun Li and Lianping Xing",

note = "Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).; 16th European Conference on Computer Vision (ECCV 2020), ECCV 2020 ; Conference date: 23-08-2020 Through 28-08-2020",

year = "2020",

month = aug,

doi = "10.1007/978-3-030-68238-5\_26",

language = "English",

isbn = "9783030682378",

volume = "Part V",

series = "Lecture Notes in Computer Science",

publisher = "Springer ",

pages = "337--351",

editor = "Adrien Bartoli and Andrea Fusiello",

booktitle = "Computer Vision – ECCV 2020 Workshops",

url = "https://eccv2020.eu/",

}

Zhou, Y, Kwan, M, Tolentino, K, Emerton, N, Lim, S, Large, T, Fu, L, Pan, Z, Li, B, Yang, Q, Liu, Y, Tang, J, Ku, T, Ma, S, Hu, B, Wang, J, Puthussery, D, Hrishikesh, PS, Kuriakose, M, Jiji, CV, Sundar, V, Hegde, S, Kothandaraman, D, Mitra, K, Jassal, A, Shah, NA, Nathan, S, Rahel, NAE, Chen, D, Nie, S, Yin, S, Ma, C, Wang, H, Zhao, T, Zhao, S, Rego, J, Chen, H, Li, S, Hu, Z, Lau, KW , Po, L-M, Yu, D, Rehman, YAU , Li, Y & Xing, L 2020, UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results. in A Bartoli & A Fusiello (eds), Computer Vision – ECCV 2020 Workshops: Proceedings. vol. Part V, Lecture Notes in Computer Science, vol. 12539, Springer , Cham, pp. 337-351, 16th European Conference on Computer Vision (ECCV 2020), Glasgow, United Kingdom, 23/08/20. https://doi.org/10.1007/978-3-030-68238-5_26

UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results. / Zhou, Yuqian; Kwan, Michael; Tolentino, Kyle et al.
Computer Vision – ECCV 2020 Workshops: Proceedings. ed. / Adrien Bartoli; Andrea Fusiello. Vol. Part V Cham: Springer , 2020. p. 337-351 (Lecture Notes in Computer Science; Vol. 12539).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - UDC 2020 Challenge on Image Restoration of Under-Display Camera

T2 - 16th European Conference on Computer Vision (ECCV 2020)

AU - Zhou, Yuqian

AU - Kwan, Michael

AU - Tolentino, Kyle

AU - Emerton, Neil

AU - Lim, Sehoon

AU - Large, Tim

AU - Fu, Lijiang

AU - Pan, Zhihong

AU - Li, Baopu

AU - Yang, Qirui

AU - Liu, Yihao

AU - Tang, Jigang

AU - Ku, Tao

AU - Ma, Shibin

AU - Hu, Bingnan

AU - Wang, Jiarong

AU - Puthussery, Densen

AU - Hrishikesh, P. S.

AU - Kuriakose, Melvin

AU - Jiji, C. V.

AU - Sundar, Varun

AU - Hegde, Sumanth

AU - Kothandaraman, Divya

AU - Mitra, Kaushik

AU - Jassal, Akashdeep

AU - Shah, Nisarg A.

AU - Nathan, Sabari

AU - Rahel, Nagat Abdalla Esiad

AU - Chen, Dafan

AU - Nie, Shichao

AU - Yin, Shuting

AU - Ma, Chengconghui

AU - Wang, Haoran

AU - Zhao, Tongtong

AU - Zhao, Shanshan

AU - Rego, Joshua

AU - Chen, Huaijin

AU - Li, Shuai

AU - Hu, Zhenhua

AU - Lau, Kin Wai

AU - Po, Lai-Man

AU - Yu, Dahai

AU - Rehman, Yasar Abbas Ur

AU - Li, Yiqun

AU - Xing, Lianping

N1 - Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

PY - 2020/8

Y1 - 2020/8

N2 - This paper is the report of the first Under-Display Camera (UDC) image restoration challenge in conjunction with the RLQ workshop at ECCV 2020. The challenge is based on a newly-collected database of Under-Display Camera. The challenge tracks correspond to two types of display: a 4k Transparent OLED (T-OLED) and a phone Pentile OLED (P-OLED). Along with about 150 teams registered the challenge, eight and nine teams submitted the results during the testing phase for each track. The results in the paper are state-of-the-art restoration performance of Under-Display Camera Restoration. Datasets and paper are available at https://yzhouas.github.io/projects/UDC/udc.html.

AB - This paper is the report of the first Under-Display Camera (UDC) image restoration challenge in conjunction with the RLQ workshop at ECCV 2020. The challenge is based on a newly-collected database of Under-Display Camera. The challenge tracks correspond to two types of display: a 4k Transparent OLED (T-OLED) and a phone Pentile OLED (P-OLED). Along with about 150 teams registered the challenge, eight and nine teams submitted the results during the testing phase for each track. The results in the paper are state-of-the-art restoration performance of Under-Display Camera Restoration. Datasets and paper are available at https://yzhouas.github.io/projects/UDC/udc.html.

KW - Debluring

KW - Denoising

KW - Image restoration

KW - Under-display camera

UR - https://www.scopus.com/pages/publications/85101322470

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85101322470&origin=recordpage

U2 - 10.1007/978-3-030-68238-5_26

DO - 10.1007/978-3-030-68238-5_26

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9783030682378

VL - Part V

T3 - Lecture Notes in Computer Science

SP - 337

EP - 351

BT - Computer Vision – ECCV 2020 Workshops

A2 - Bartoli, Adrien

A2 - Fusiello, Andrea

PB - Springer

CY - Cham

Y2 - 23 August 2020 through 28 August 2020

ER -

UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results

Abstract

Publication series

Conference

Bibliographical note

Research Keywords

Access Output

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