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- Publisher Website: 10.1109/TIP.2018.2834737
- Scopus: eid_2-s2.0-85046704662
- WOS: WOS:000434292800001
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Article: Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks
Title | Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks |
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Authors | |
Keywords | Moiré pattern Neural network Image restoration |
Issue Date | 2018 |
Publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=83 |
Citation | IEEE Transactions on Image Processing, 2018, v. 27 n. 8, p. 4160-4172 How to Cite? |
Abstract | Digital cameras and mobile phones enable us to conveniently record precious moments. While digital image quality is constantly being improved, taking high-quality photos of digital screens still remains challenging because the photos are often contaminated with moiré patterns, a result of the interference between the pixel grids of the camera sensor and the device screen. Moiré patterns can severely damage the visual quality of photos. However, few studies have aimed to solve this problem. In this paper, we introduce a novel multiresolution fully convolutional network for automatically removing moiré patterns from photos. Since a moiré pattern spans over a wide range of frequencies, our proposed network performs a nonlinear multiresolution analysis of the input image before computing how to cancel moiré artefacts within every frequency band. We also create a large-scale benchmark data set with 1 00 000 + image pairs for investigating and evaluating moiré pattern removal algorithms. Our network achieves the state-of-the-art performance on this data set in comparison to existing learning architectures for image restoration problems. |
Persistent Identifier | http://hdl.handle.net/10722/254893 |
ISSN | 2023 Impact Factor: 10.8 2023 SCImago Journal Rankings: 3.556 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Sun, Y | - |
dc.contributor.author | Yu, Y | - |
dc.contributor.author | Wang, W | - |
dc.date.accessioned | 2018-06-21T01:08:14Z | - |
dc.date.available | 2018-06-21T01:08:14Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | IEEE Transactions on Image Processing, 2018, v. 27 n. 8, p. 4160-4172 | - |
dc.identifier.issn | 1057-7149 | - |
dc.identifier.uri | http://hdl.handle.net/10722/254893 | - |
dc.description.abstract | Digital cameras and mobile phones enable us to conveniently record precious moments. While digital image quality is constantly being improved, taking high-quality photos of digital screens still remains challenging because the photos are often contaminated with moiré patterns, a result of the interference between the pixel grids of the camera sensor and the device screen. Moiré patterns can severely damage the visual quality of photos. However, few studies have aimed to solve this problem. In this paper, we introduce a novel multiresolution fully convolutional network for automatically removing moiré patterns from photos. Since a moiré pattern spans over a wide range of frequencies, our proposed network performs a nonlinear multiresolution analysis of the input image before computing how to cancel moiré artefacts within every frequency band. We also create a large-scale benchmark data set with 1 00 000 + image pairs for investigating and evaluating moiré pattern removal algorithms. Our network achieves the state-of-the-art performance on this data set in comparison to existing learning architectures for image restoration problems. | - |
dc.language | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=83 | - |
dc.relation.ispartof | IEEE Transactions on Image Processing | - |
dc.subject | Moiré pattern | - |
dc.subject | Neural network | - |
dc.subject | Image restoration | - |
dc.title | Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks | - |
dc.type | Article | - |
dc.identifier.email | Sun, Y: yujing@hku.hk | - |
dc.identifier.email | Yu, Y: yzyu@cs.hku.hk | - |
dc.identifier.email | Wang, W: wenping@cs.hku.hk | - |
dc.identifier.authority | Sun, Y=rp02880 | - |
dc.identifier.authority | Yu, Y=rp01415 | - |
dc.identifier.authority | Wang, W=rp00186 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TIP.2018.2834737 | - |
dc.identifier.scopus | eid_2-s2.0-85046704662 | - |
dc.identifier.hkuros | 285369 | - |
dc.identifier.volume | 27 | - |
dc.identifier.issue | 8 | - |
dc.identifier.spage | 4160 | - |
dc.identifier.epage | 4172 | - |
dc.identifier.eissn | 1941-0042 | - |
dc.identifier.isi | WOS:000434292800001 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1057-7149 | - |