Robust Entangled-Photon Ghost Imaging with Compressive Sensing

Jun LiChristian H Ritz


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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Jul 17, 2010·Optics Letters·Pere ClementeJesús Lancis
Jun 28, 2012·Sensors·Shiqing ZhangBicheng Lei
Jan 6, 2015·Nature Communications·Peter A MorrisMiles J Padgett
Sep 22, 2017·Scientific Reports·Zibang ZhangJingang Zhong
Feb 7, 2018·Scientific Reports·Catherine F HighamMatthew P Edgar
Apr 4, 2018·Optics Express·Paul-Antoine MoreauMiles J Padgett

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