| dc.contributor.author | Wu, Jiachen | |
| dc.contributor.author | Zhang, Hua | |
| dc.contributor.author | Zhang, Wenhui | |
| dc.contributor.author | Jin, Guofan | |
| dc.contributor.author | Cao, Liangcai | |
| dc.contributor.author | Barbastathis, George | |
| dc.date.accessioned | 2020-06-22T20:36:01Z | |
| dc.date.available | 2020-06-22T20:36:01Z | |
| dc.date.issued | 2020-04 | |
| dc.date.submitted | 2019-08 | |
| dc.identifier.issn | 2047-7538 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/125925 | |
| dc.description.abstract | Lensless imaging eliminates the need for geometric isomorphism between a scene and an image while allowing the construction of compact, lightweight imaging systems. However, a challenging inverse problem remains due to the low reconstructed signal-to-noise ratio. Current implementations require multiple masks or multiple shots to denoise the reconstruction. We propose single-shot lensless imaging with a Fresnel zone aperture and incoherent illumination. By using the Fresnel zone aperture to encode the incoherent rays in wavefront-like form, the captured pattern has the same form as the inline hologram. Since conventional backpropagation reconstruction is troubled by the twin-image problem, we show that the compressive sensing algorithm is effective in removing this twin-image artifact due to the sparsity in natural scenes. The reconstruction with a significantly improved signal-to-noise ratio from a single-shot image promotes a camera architecture that is flat and reliable in its structure and free of the need for strict calibration. ©2020, The Author(s). | en_US |
| dc.description.sponsorship | National Key R&D Program of China (No. 2017YFF0106400) | en_US |
| dc.description.sponsorship | National Natural Science Foundation of China (No. 61827825) | en_US |
| dc.language.iso | en | |
| dc.publisher | Springer Science and Business Media LLC | en_US |
| dc.relation.isversionof | https://dx.doi.org/10.1038/s41377-020-0289-9 | en_US |
| dc.rights | Creative Commons Attribution 4.0 International license | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.source | Nature | en_US |
| dc.title | Single-shot lensless imaging with fresnel zone aperture and incoherent illumination | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Wu, Jiachen et al., "Single-shot lensless imaging with fresnel zone aperture and incoherent illumination." Light: Science and Applications 9 (April 2020): no. 53 doi. 10.1038/s41377-020-0289-9 ©2020 Author(s) | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | en_US |
| dc.relation.journal | Light: Science and Applications | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2020-06-22T19:11:21Z | |
| dspace.date.submission | 2020-06-22T19:11:24Z | |
| mit.journal.volume | 9 | en_US |
| mit.journal.issue | 1 | en_US |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Complete | |