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Conference Paper: Digital holographic imaging via deep learning
| Title | Digital holographic imaging via deep learning |
|---|---|
| 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 CTu3A.4 How to Cite? |
| Abstract | We propose an end-to-end deep learning method for holographic reconstruction. Through this data-driven approach, it is possible to reconstruct a noise-free image that does not require any prior knowledge. |
| Description | Session: Learning based approaches to Computational Imaging (CTu3A) ; OSA Technical Digest (Optical Society of America, 2019) - paper CTu3A.4 |
| Persistent Identifier | http://hdl.handle.net/10722/277796 |
| ISBN |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ren, Z | - |
| dc.contributor.author | Zeng, T | - |
| dc.contributor.author | Lam, EYM | - |
| dc.date.accessioned | 2019-10-04T08:01:31Z | - |
| dc.date.available | 2019-10-04T08:01:31Z | - |
| 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 CTu3A.4 | - |
| dc.identifier.isbn | 9781943580637 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/277796 | - |
| dc.description | Session: Learning based approaches to Computational Imaging (CTu3A) ; OSA Technical Digest (Optical Society of America, 2019) - paper CTu3A.4 | - |
| dc.description.abstract | We propose an end-to-end deep learning method for holographic reconstruction. Through this data-driven approach, it is possible to reconstruct a noise-free image that does not require any prior knowledge. | - |
| 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.rights | © 2019 Optical Society of America]. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modifications of the content of this paper are prohibited. | - |
| dc.title | Digital holographic imaging via deep learning | - |
| 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.CTu3A.4 | - |
| dc.identifier.hkuros | 306264 | - |
| dc.identifier.spage | CTu3A.4 | - |
| dc.identifier.epage | CTu3A.4 | - |
| dc.publisher.place | Washington, D.C. | - |