Calculating real-time computer-generated holograms for holographic 3D displays through deep learning
| dc.contributor.author | Liu, SC | |
| dc.contributor.author | Li, J | |
| dc.contributor.author | Chu, D | |
| dc.date.accessioned | 2020-06-22T23:31:55Z | |
| dc.date.available | 2020-06-22T23:31:55Z | |
| dc.date.issued | 2019-05-13 | |
| dc.identifier.isbn | 9781943580590 | |
| dc.identifier.uri | https://www.repository.cam.ac.uk/handle/1810/307116 | |
| dc.description.abstract | © OSA 2019 © 2019 The Author(s) A deep learning method is proposed to calculate holograms in real-time. After training, it can generate holograms for all R/G/B channels within 10 msec. Simulation results confirm successfully reconstruct the target training and testing images. | |
| dc.publisher | OSA Publishing | |
| dc.rights | All rights reserved | |
| dc.title | Calculating real-time computer-generated holograms for holographic 3D displays through deep learning | |
| dc.type | Conference Object | |
| prism.publicationDate | 2019 | |
| prism.publicationName | Digital Holography and Three-Dimensional Imaging Conference Proceedings 2007-2019 | |
| dc.identifier.doi | 10.17863/CAM.54209 | |
| rioxxterms.versionofrecord | 10.1364/DH.2019.Tu4A.7 | |
| rioxxterms.version | AM | |
| rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
| rioxxterms.licenseref.startdate | 2019-05-13 | |
| dc.contributor.orcid | Chu, Daping [0000-0001-9989-6238] | |
| rioxxterms.type | Conference Paper/Proceeding/Abstract | |
| pubs.funder-project-id | Engineering and Physical Sciences Research Council (EP/L015455/1) | |
| cam.issuedOnline | 2019 | |
| pubs.conference-name | Digital Holography and Three-Dimensional Imaging 2019 | |
| pubs.conference-start-date | 2019-05-19 | |
| pubs.conference-finish-date | 2019-05-23 | |
| rioxxterms.freetoread.startdate | 2020-05-13 |
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