NTIRE 2020 Challenge on Image Demoireing: Methods and Results Article Swipe
Shanxin Yuan
,
Radu Timofte
,
Aleš Leonardis
,
Greg Slabaugh
,
Xiaotong Luo
,
Jiangtao Zhang
,
Yanyun Qu
,
Ming Hong
,
Yuan Xie
,
Cuihua Li
,
Dejia Xu
,
Yihao Chu
,
Qingyan Sun
,
Shuai Liu
,
Ziyao Zong
,
Nan Nan
,
Chenghua Li
,
Sangmin Kim
,
Hyungjoon Nam
,
Jisu Kim
,
Jechang Jeong
,
Manri Cheon
,
Sungjun Yoon
,
Byungyeon Kang
,
JunWoo Lee
,
Bolun Zheng
,
Xiaohong Liu
,
Linhui Dai
,
Jun Chen
,
Xi Cheng
,
Zhenyong Fu
,
Jian Yang
,
Chul Lee
,
An Gia Vien
,
Hyunkook Park
,
Sabari Nathan
,
M. Parisa Beham
,
S. Mohamed Mansoor Roomi
,
Florian Lemarchand
,
Maxime Pelcat
,
Erwan Nogues
,
Densen Puthussery
,
P. S. Hrishikesh
,
C. V. Jiji
,
Ashish Sinha
,
Xuan Zhao
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2005.03155
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2005.03155
This paper reviews the Challenge on Image Demoireing that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2020. Demoireing is a difficult task of removing moire patterns from an image to reveal an underlying clean image. The challenge was divided into two tracks. Track 1 targeted the single image demoireing problem, which seeks to remove moire patterns from a single image. Track 2 focused on the burst demoireing problem, where a set of degraded moire images of the same scene were provided as input, with the goal of producing a single demoired image as output. The methods were ranked in terms of their fidelity, measured using the peak signal-to-noise ratio (PSNR) between the ground truth clean images and the restored images produced by the participants' methods. The tracks had 142 and 99 registered participants, respectively, with a total of 14 and 6 submissions in the final testing stage. The entries span the current state-of-the-art in image and burst image demoireing problems.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2005.03155
- https://arxiv.org/pdf/2005.03155
- OA Status
- green
- Cited By
- 3
- References
- 78
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2985670408
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2985670408Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2005.03155Digital Object Identifier
- Title
-
NTIRE 2020 Challenge on Image Demoireing: Methods and ResultsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-05-06Full publication date if available
- Authors
-
Shanxin Yuan, Radu Timofte, Aleš Leonardis, Greg Slabaugh, Xiaotong Luo, Jiangtao Zhang, Yanyun Qu, Ming Hong, Yuan Xie, Cuihua Li, Dejia Xu, Yihao Chu, Qingyan Sun, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Manri Cheon, Sungjun Yoon, Byungyeon Kang, JunWoo Lee, Bolun Zheng, Xiaohong Liu, Linhui Dai, Jun Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Chul Lee, An Gia Vien, Hyunkook Park, Sabari Nathan, M. Parisa Beham, S. Mohamed Mansoor Roomi, Florian Lemarchand, Maxime Pelcat, Erwan Nogues, Densen Puthussery, P. S. Hrishikesh, C. V. Jiji, Ashish Sinha, Xuan ZhaoList of authors in order
- Landing page
-
https://arxiv.org/abs/2005.03155Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2005.03155Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2005.03155Direct OA link when available
- Concepts
-
Image (mathematics), Computer science, Artificial intelligence, Computer vision, Fidelity, Moiré pattern, Ground truth, Image restoration, Track (disk drive), Set (abstract data type), Noise (video), Image processing, Telecommunications, Operating system, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 1, 2021: 1, 2020: 1Per-year citation counts (last 5 years)
- References (count)
-
78Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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