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Conference Paper: Perceptual loss for light field reconstruction in high-dimensional convolutional neural networks
| Title | Perceptual loss for light field reconstruction in high-dimensional convolutional neural networks |
|---|---|
| Authors | |
| Issue Date | 2019 |
| Publisher | Optical Society of America. The proceedings' web site is located at https://www.osapublishing.org/conference.cfm?meetingid=15&yr=2019 |
| Citation | Computational Optical Sensing and Imaging (COSI) 2019, Munich, Germany, 24–27 June 2019. In Proceedings Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP), paper CW1A.5 How to Cite? |
| Abstract | We explore the benefits of perceptual loss for light field (LF) spatial recon struction in a high-dimensional convolutional neural network. The results outperform some state-of-the-art methods for LF or image super-resolution. |
| Description | Session CW1A • Applications of Deep Learning to Computational Imaging - CW1A.5 ; OSA Technical Digest (Optical Society of America, 2019), paper CW1A.5 |
| Persistent Identifier | http://hdl.handle.net/10722/277800 |
| ISBN |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Meng, N | - |
| dc.contributor.author | Zeng, T | - |
| dc.contributor.author | Lam, EYM | - |
| dc.date.accessioned | 2019-10-04T08:01:36Z | - |
| dc.date.available | 2019-10-04T08:01:36Z | - |
| dc.date.issued | 2019 | - |
| dc.identifier.citation | Computational Optical Sensing and Imaging (COSI) 2019, Munich, Germany, 24–27 June 2019. In Proceedings Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP), paper CW1A.5 | - |
| dc.identifier.isbn | 9781943580637 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/277800 | - |
| dc.description | Session CW1A • Applications of Deep Learning to Computational Imaging - CW1A.5 ; OSA Technical Digest (Optical Society of America, 2019), paper CW1A.5 | - |
| dc.description.abstract | We explore the benefits of perceptual loss for light field (LF) spatial recon struction in a high-dimensional convolutional neural network. The results outperform some state-of-the-art methods for LF or image super-resolution. | - |
| dc.language | eng | - |
| dc.publisher | Optical Society of America. The proceedings' web site is located at https://www.osapublishing.org/conference.cfm?meetingid=15&yr=2019 | - |
| dc.relation.ispartof | Imaging and Applied Optics Congress 2019 (COSI, IS, MATH, pcAOP) | - |
| dc.rights | Imaging and Applied Optics Congress 2019 (COSI, IS, MATH, pcAOP). Copyright © Optical Society of America. | - |
| dc.title | Perceptual loss for light field reconstruction in high-dimensional convolutional neural networks | - |
| dc.type | Conference_Paper | - |
| dc.identifier.email | Lam, EYM: elam@eee.hku.hk | - |
| dc.identifier.authority | Lam, EYM=rp00131 | - |
| dc.identifier.doi | 10.1364/COSI.2019.CW1A.5 | - |
| dc.identifier.hkuros | 306268 | - |
| dc.identifier.spage | paper CW1A.5 | - |
| dc.identifier.epage | paper CW1A.5 | - |
| dc.publisher.place | Washington, D.C. | - |