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Article: Computational ghost imaging of hot objects in long-wave infrared range
Title | Computational ghost imaging of hot objects in long-wave infrared range |
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Authors | |
Issue Date | 2017 |
Citation | Applied Physics Letters, 2017, v. 111, n. 3, article no. 031110 How to Cite? |
Abstract | © 2017 Author(s). Ghost imaging (GI) is an intriguing imaging modality to obtain the object information from the correlation calculations of spatial intensity fluctuations. In this letter, we report the computational GI of hot objects in the long-wave infrared range both in experiment and simulation. Without employing an independent light source, we reconstruct thermal images of objects only based on the intensity correlations of their thermal radiation at room temperature. By comparing different GI reconstruction algorithms, we demonstrate that GI with compressive sensing can efficiently obtain the thermal object information only with a single-pixel infrared camera, which might be applied to night-vision, environmental sensing, military detection, etc. |
Persistent Identifier | http://hdl.handle.net/10722/295069 |
ISSN | 2023 Impact Factor: 3.5 2023 SCImago Journal Rankings: 0.976 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Liu, Hong Chao | - |
dc.contributor.author | Zhang, Shuang | - |
dc.date.accessioned | 2021-01-05T04:59:00Z | - |
dc.date.available | 2021-01-05T04:59:00Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Applied Physics Letters, 2017, v. 111, n. 3, article no. 031110 | - |
dc.identifier.issn | 0003-6951 | - |
dc.identifier.uri | http://hdl.handle.net/10722/295069 | - |
dc.description.abstract | © 2017 Author(s). Ghost imaging (GI) is an intriguing imaging modality to obtain the object information from the correlation calculations of spatial intensity fluctuations. In this letter, we report the computational GI of hot objects in the long-wave infrared range both in experiment and simulation. Without employing an independent light source, we reconstruct thermal images of objects only based on the intensity correlations of their thermal radiation at room temperature. By comparing different GI reconstruction algorithms, we demonstrate that GI with compressive sensing can efficiently obtain the thermal object information only with a single-pixel infrared camera, which might be applied to night-vision, environmental sensing, military detection, etc. | - |
dc.language | eng | - |
dc.relation.ispartof | Applied Physics Letters | - |
dc.title | Computational ghost imaging of hot objects in long-wave infrared range | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1063/1.4994662 | - |
dc.identifier.scopus | eid_2-s2.0-85025073447 | - |
dc.identifier.volume | 111 | - |
dc.identifier.issue | 3 | - |
dc.identifier.spage | article no. 031110 | - |
dc.identifier.epage | article no. 031110 | - |
dc.identifier.isi | WOS:000406123100010 | - |
dc.identifier.issnl | 0003-6951 | - |