AIM 2019 challenge on RAW to RGB mapping: Methods and results
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ignatov, Andrey | - |
dc.contributor.author | Timofte, Radu | - |
dc.contributor.author | Ko, Sung-Jea | - |
dc.contributor.author | Kim, Seung-Wook | - |
dc.contributor.author | Uhm, Kwang-Hyun | - |
dc.contributor.author | Ji, Seo-Won | - |
dc.contributor.author | Cho, Sung-Jin | - |
dc.contributor.author | Hong, Jun-Pyo | - |
dc.contributor.author | Mei, Kangfu | - |
dc.contributor.author | Li, Juncheng | - |
dc.contributor.author | Zhang, Jiajie | - |
dc.contributor.author | Wu, Haoyu | - |
dc.contributor.author | Li, Jie | - |
dc.contributor.author | Huang, Rui | - |
dc.contributor.author | Haris, Muhammad | - |
dc.contributor.author | Shakhnarovich, Greg | - |
dc.contributor.author | Ukita, Norimichi | - |
dc.contributor.author | Zhao, Yuzhi | - |
dc.contributor.author | Po, Lai-Man | - |
dc.contributor.author | Zhang, Tiantian | - |
dc.contributor.author | Liao, Zongbang | - |
dc.contributor.author | Shi, Xiang | - |
dc.contributor.author | Zhang, Yujia | - |
dc.contributor.author | Ou, Weifeng | - |
dc.contributor.author | Xian, Pengfei | - |
dc.contributor.author | Xiong, Jingjing | - |
dc.contributor.author | Zhou, Chang | - |
dc.contributor.author | Yu, Wing Yin | - |
dc.contributor.author | Yubin | - |
dc.contributor.author | Hou, Bingxin | - |
dc.contributor.author | Park, Bumjun | - |
dc.contributor.author | Yu, Songhyun | - |
dc.contributor.author | Kim, Sangmin | - |
dc.contributor.author | Jeong, Jechang | - |
dc.date.accessioned | 2021-07-30T05:22:57Z | - |
dc.date.available | 2021-07-30T05:22:57Z | - |
dc.date.created | 2021-05-11 | - |
dc.date.issued | 2019-10 | - |
dc.identifier.issn | 2473-9936 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/4525 | - |
dc.description.abstract | This paper reviews the first AIM challenge on mapping camera RAW to RGB images with the focus on proposed solutions and results. The participating teams were solving a real-world photo enhancement problem, where the goal was to map the original low-quality RAW images from the Huawei P20 device to the same photos captured with the Canon 5D DSLR camera. The considered problem embraced a number of computer vision subtasks, such as image demosaicing, denoising, gamma correction, image resolution and sharpness enhancement, etc. The target metric used in this challenge combined fidelity scores (PSNR and SSIM) with solutions' perceptual results measured in a user study. The proposed solutions significantly improved baseline results, defining the state-of-the-art for RAW to RGB image restoration. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | AIM 2019 challenge on RAW to RGB mapping: Methods and results | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jeong, Jechang | - |
dc.identifier.doi | 10.1109/ICCVW.2019.00443 | - |
dc.identifier.scopusid | 2-s2.0-85082452964 | - |
dc.identifier.wosid | 000554591603093 | - |
dc.identifier.bibliographicCitation | Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019, pp.3584 - 3590 | - |
dc.relation.isPartOf | Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019 | - |
dc.citation.title | Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019 | - |
dc.citation.startPage | 3584 | - |
dc.citation.endPage | 3590 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Imaging Science & Photographic Technology | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.relation.journalWebOfScienceCategory | Imaging Science & Photographic Technology | - |
dc.subject.keywordPlus | Cameras | - |
dc.subject.keywordPlus | Computer vision | - |
dc.subject.keywordPlus | Deep learning | - |
dc.subject.keywordPlus | Image reconstruction | - |
dc.subject.keywordPlus | Image resolution | - |
dc.subject.keywordPlus | Mapping | - |
dc.subject.keywordPlus | Smartphones | - |
dc.subject.keywordPlus | AIM2019 | - |
dc.subject.keywordPlus | Challenge | - |
dc.subject.keywordPlus | Image manipulation | - |
dc.subject.keywordPlus | Mobile camera | - |
dc.subject.keywordPlus | RAW to RGB | - |
dc.subject.keywordPlus | Image enhancement | - |
dc.subject.keywordAuthor | AIM | - |
dc.subject.keywordAuthor | AIM2019 | - |
dc.subject.keywordAuthor | Challenge | - |
dc.subject.keywordAuthor | Computer vision | - |
dc.subject.keywordAuthor | Deep learning | - |
dc.subject.keywordAuthor | Image enhancement | - |
dc.subject.keywordAuthor | Image manipulation | - |
dc.subject.keywordAuthor | Mobile cameras | - |
dc.subject.keywordAuthor | RAW to RGB | - |
dc.subject.keywordAuthor | Smartphones | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/9022218 | - |
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