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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Main Authors: Jun Li, Wenyu Gao, Jiachuan Qian, Qinghua Guo, Jiangtao Xi, Christian H. Ritz
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Sensors
Subjects:
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.
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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