ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
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A probability theory for filtered ghost imaging |
Zhong-Yuan Liu(刘忠源), Shao-Ying Meng(孟少英), and Xi-Hao Chen(陈希浩)† |
Key Laboratory of Optoelectronic Devices and Detection Technology, College of Physics, Liaoning University, Shenyang 110036, China |
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Abstract Based on probability density functions, we present a theoretical model to explain filtered ghost imaging (FGI) we first proposed and experimentally demonstrated in 2017 [Opt. Lett. 42 5290 (2017)]. An analytic expression for the joint intensity probability density functions of filtered random speckle fields is derived according to their probability distributions. Moreover, the normalized second-order intensity correlation functions are calculated for the three cases of low-pass, bandpass and high-pass filterings to study the resolution and visibility in the FGI system. Numerical simulations show that the resolution and visibility predicted by our model agree well with the experimental results, which also explains why FGI can achieve a super-resolution image and better visibility than traditional ghost imaging.
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Received: 27 June 2022
Revised: 28 September 2022
Accepted manuscript online: 07 October 2022
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PACS:
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42.30.Va
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(Image forming and processing)
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42.30.Wb
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(Image reconstruction; tomography)
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87.57.-s
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(Medical imaging)
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87.59.bd
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(Computed radiography)
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Fund: Project supported by the National Key Research and Development Program of China (Grant No. 2018YFB0504302), and the Project of Innovation and Entrepreneurship Training Program for college students of Liaoning University (Grant No. S202110140003). |
Corresponding Authors:
Xi-Hao Chen
E-mail: xi-haochen@163.com
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Cite this article:
Zhong-Yuan Liu(刘忠源), Shao-Ying Meng(孟少英), and Xi-Hao Chen(陈希浩) A probability theory for filtered ghost imaging 2023 Chin. Phys. B 32 044204
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