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Sensors 2019, 19(1), 192;

Robust Entangled-Photon Ghost Imaging with Compressive Sensing

National Lab of Radar Signal Processing, Xidian University, Xi’an 710071, China
School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW 2522, Australia
Author to whom correspondence should be addressed.
Received: 7 December 2018 / Revised: 29 December 2018 / Accepted: 5 January 2019 / Published: 7 January 2019
(This article belongs to the Section Intelligent Sensors)
PDF [2737 KB, uploaded 7 January 2019]


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. View Full-Text
Keywords: entangled photons; compressive ghost imaging; quantum correlation entangled photons; compressive ghost imaging; quantum correlation

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Li, J.; Gao, W.; Qian, J.; Guo, Q.; Xi, J.; Ritz, C.H. Robust Entangled-Photon Ghost Imaging with Compressive Sensing. Sensors 2019, 19, 192.

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