NTIRE 2020 challenge on image demoireing: Methods and results
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yuan, S. | - |
dc.contributor.author | Timofte, R. | - |
dc.contributor.author | Leonardis, A. | - |
dc.contributor.author | Slabaugh, G. | - |
dc.contributor.author | Luo, X. | - |
dc.contributor.author | Zhang, J. | - |
dc.contributor.author | Qu, Y. | - |
dc.contributor.author | Hong, M. | - |
dc.contributor.author | Xie, Y. | - |
dc.contributor.author | Li, C. | - |
dc.contributor.author | Xu, D. | - |
dc.contributor.author | Chu, Y. | - |
dc.contributor.author | Sun, Q. | - |
dc.contributor.author | Liu, S. | - |
dc.contributor.author | Zong, Z. | - |
dc.contributor.author | Nan, N. | - |
dc.contributor.author | Li, C. | - |
dc.contributor.author | Kim, S. | - |
dc.contributor.author | Nam, H. | - |
dc.contributor.author | Kim, J. | - |
dc.contributor.author | Jeong, Jechang | - |
dc.contributor.author | Cheon, M. | - |
dc.contributor.author | Yoon, S.-J. | - |
dc.contributor.author | Kang, B. | - |
dc.contributor.author | Lee, J. | - |
dc.contributor.author | Zheng, B. | - |
dc.contributor.author | Liu, X. | - |
dc.contributor.author | Dai, L. | - |
dc.contributor.author | Chen, J. | - |
dc.contributor.author | Cheng, X. | - |
dc.contributor.author | Fu, Z. | - |
dc.contributor.author | Yang, J. | - |
dc.contributor.author | Lee, C. | - |
dc.contributor.author | Vien, A.G. | - |
dc.contributor.author | Park, H. | - |
dc.contributor.author | Nathan, S. | - |
dc.contributor.author | Beham, M.P. | - |
dc.contributor.author | Mohamed, Mansoor Roomi S. | - |
dc.contributor.author | Lemarchand, F. | - |
dc.contributor.author | Pelcat, M. | - |
dc.contributor.author | Nogues, E. | - |
dc.contributor.author | Puthussery, D. | - |
dc.contributor.author | Hrishikesh, P.S. | - |
dc.contributor.author | Jiji, C.V. | - |
dc.contributor.author | Sinha, A. | - |
dc.contributor.author | Zhao, X. | - |
dc.date.accessioned | 2021-07-30T05:13:40Z | - |
dc.date.available | 2021-07-30T05:13:40Z | - |
dc.date.created | 2021-05-11 | - |
dc.date.issued | 2020-06 | - |
dc.identifier.issn | 2160-7508 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/3721 | - |
dc.description.abstract | 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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE Computer Society | - |
dc.title | NTIRE 2020 challenge on image demoireing: Methods and results | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jeong, Jechang | - |
dc.identifier.doi | 10.1109/CVPRW50498.2020.00238 | - |
dc.identifier.scopusid | 2-s2.0-85090128007 | - |
dc.identifier.bibliographicCitation | IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, v.2020-June, pp.1882 - 1893 | - |
dc.relation.isPartOf | IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops | - |
dc.citation.title | IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops | - |
dc.citation.volume | 2020-June | - |
dc.citation.startPage | 1882 | - |
dc.citation.endPage | 1893 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Computer vision | - |
dc.subject.keywordPlus | Image reconstruction | - |
dc.subject.keywordPlus | Moire fringes | - |
dc.subject.keywordPlus | Restoration | - |
dc.subject.keywordPlus | Signal to noise ratio | - |
dc.subject.keywordPlus | Clean images | - |
dc.subject.keywordPlus | Ground truth | - |
dc.subject.keywordPlus | Image restoration and enhancements | - |
dc.subject.keywordPlus | Moire pattern | - |
dc.subject.keywordPlus | Peak signal to noise ratio | - |
dc.subject.keywordPlus | Single images | - |
dc.subject.keywordPlus | State of the art | - |
dc.subject.keywordPlus | Image enhancement | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/9150683 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.