Notice
This is not the latest version of this item. The latest version can be found at:https://dspace.mit.edu/handle/1721.1/138459.2
On the use of deep learning for computational imaging
| dc.contributor.author | Barbastathis, George | |
| dc.date.accessioned | 2021-12-13T19:09:02Z | |
| dc.date.available | 2021-12-13T19:09:02Z | |
| dc.date.issued | 2020 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/138459 | |
| dc.description.abstract | © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only. Deep learning has emerged as a class of optimization algorithms proven to be effective for a variety of inference and decision tasks. Similar algorithms, with appropriate modifications, have also been widely adopted for computational imaging. Here, we review the basic tenets of deep learning and computational imaging, and overview recent progress in two applications: super resolution and phase retrieval. | en_US |
| dc.language.iso | en | |
| dc.publisher | SPIE-Intl Soc Optical Eng | en_US |
| dc.relation.isversionof | 10.1117/12.2571322 | en_US |
| dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
| dc.source | SPIE | en_US |
| dc.title | On the use of deep learning for computational imaging | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Barbastathis, George. 2020. "On the use of deep learning for computational imaging." Proceedings of SPIE - The International Society for Optical Engineering, 11463. | |
| dc.relation.journal | Proceedings of SPIE - The International Society for Optical Engineering | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2021-12-13T19:03:32Z | |
| dspace.orderedauthors | Barbastathis, G | en_US |
| dspace.date.submission | 2021-12-13T19:03:33Z | |
| mit.journal.volume | 11463 | en_US |
| mit.license | PUBLISHER_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
