Robust Entangled-Photon Ghost Imaging with Compressive Sensing
This work experimentally demonstrates that the imaging quality of quantum ghost imaging (GI) with entangled photons can be significantly improved by properly handling the errors caused by the imperfection of optical devices. We also consider compressive GI to reduce the number of measurements and th...
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Format: | Article |
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MDPI AG
2019-01-01
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Series: | Sensors |
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Online Access: | http://www.mdpi.com/1424-8220/19/1/192 |
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author | Jun Li Wenyu Gao Jiachuan Qian Qinghua Guo Jiangtao Xi Christian H. Ritz |
author_facet | Jun Li Wenyu Gao Jiachuan Qian Qinghua Guo Jiangtao Xi Christian H. Ritz |
author_sort | Jun Li |
collection | DOAJ |
description | This work experimentally demonstrates that the imaging quality of quantum ghost imaging (GI) with entangled photons can be significantly improved by properly handling the errors caused by the imperfection of optical devices. We also consider compressive GI to reduce the number of measurements and thereby the data acquisition time. The image reconstruction is formulated as a sparse total least square problem which is solved with an iterative algorithm. Our experiments show that, compared with existing methods, the new method can achieve a significant performance gain in terms of mean square error and peak signal–noise ratio. |
first_indexed | 2024-04-13T08:50:23Z |
format | Article |
id | doaj.art-d37b3b20ac54456e9831b333d91f911f |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-13T08:50:23Z |
publishDate | 2019-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-d37b3b20ac54456e9831b333d91f911f2022-12-22T02:53:30ZengMDPI AGSensors1424-82202019-01-0119119210.3390/s19010192s19010192Robust Entangled-Photon Ghost Imaging with Compressive SensingJun Li0Wenyu Gao1Jiachuan Qian2Qinghua Guo3Jiangtao Xi4Christian H. Ritz5National Lab of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Lab of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Lab of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaSchool of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW 2522, AustraliaSchool of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW 2522, AustraliaSchool of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW 2522, AustraliaThis work experimentally demonstrates that the imaging quality of quantum ghost imaging (GI) with entangled photons can be significantly improved by properly handling the errors caused by the imperfection of optical devices. We also consider compressive GI to reduce the number of measurements and thereby the data acquisition time. The image reconstruction is formulated as a sparse total least square problem which is solved with an iterative algorithm. Our experiments show that, compared with existing methods, the new method can achieve a significant performance gain in terms of mean square error and peak signal–noise ratio.http://www.mdpi.com/1424-8220/19/1/192entangled photonscompressive ghost imagingquantum correlation |
spellingShingle | Jun Li Wenyu Gao Jiachuan Qian Qinghua Guo Jiangtao Xi Christian H. Ritz Robust Entangled-Photon Ghost Imaging with Compressive Sensing Sensors entangled photons compressive ghost imaging quantum correlation |
title | Robust Entangled-Photon Ghost Imaging with Compressive Sensing |
title_full | Robust Entangled-Photon Ghost Imaging with Compressive Sensing |
title_fullStr | Robust Entangled-Photon Ghost Imaging with Compressive Sensing |
title_full_unstemmed | Robust Entangled-Photon Ghost Imaging with Compressive Sensing |
title_short | Robust Entangled-Photon Ghost Imaging with Compressive Sensing |
title_sort | robust entangled photon ghost imaging with compressive sensing |
topic | entangled photons compressive ghost imaging quantum correlation |
url | http://www.mdpi.com/1424-8220/19/1/192 |
work_keys_str_mv | AT junli robustentangledphotonghostimagingwithcompressivesensing AT wenyugao robustentangledphotonghostimagingwithcompressivesensing AT jiachuanqian robustentangledphotonghostimagingwithcompressivesensing AT qinghuaguo robustentangledphotonghostimagingwithcompressivesensing AT jiangtaoxi robustentangledphotonghostimagingwithcompressivesensing AT christianhritz robustentangledphotonghostimagingwithcompressivesensing |