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Volume 45 Issue 6
Jun.  2023
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ZHOU Mu, JI Changyin, XIE Liangbo, CAO Jingyang, NIE Wei. Optical Quantum Imaging Method Based on Filter Optimization of Coincidence Counting[J]. Journal of Electronics & Information Technology, 2023, 45(6): 2089-2097. doi: 10.11999/JEIT220627
Citation: ZHOU Mu, JI Changyin, XIE Liangbo, CAO Jingyang, NIE Wei. Optical Quantum Imaging Method Based on Filter Optimization of Coincidence Counting[J]. Journal of Electronics & Information Technology, 2023, 45(6): 2089-2097. doi: 10.11999/JEIT220627

Optical Quantum Imaging Method Based on Filter Optimization of Coincidence Counting

doi: 10.11999/JEIT220627
Funds:  The National Natural Science Foundation of China (61901076), The Science and Technology Research Program of Chongqing Municipal Education Commission (KJZD-K202000605, KJQN202000630), The Chongqing Technology Innovation and Application Development Special Project (S2022-02N), The Chongqing Natural Science Foundation Project (CSTB2022NSCQ-MSX0895), The Postgraduate Scientific Research and Innovation Project of Chongqing (CYS21298)
  • Received Date: 2022-05-17
  • Rev Recd Date: 2022-11-14
  • Available Online: 2022-11-18
  • Publish Date: 2023-06-10
  • Quantum Imaging(QI) is an important research direction in the field of quantum optics due to its anti-reconnaissance, anti-interference and high resolution. In order to solve the problem of image quality degradation caused by the abnormal coincidence count value caused by ambient light in the actual quantum imaging process, a photon quantum imaging method based on coincidence count filter optimization is proposed in this paper. Firstly, three-layer Discrete Wavelet Transform(DWT) on the original coincident count values is performed to obtain the corresponding wavelet coefficients. Secondly, Gaussian filtering is performed to denoise the high-frequency components in the wavelet coefficients, and the denoised coincident count values through inverse wavelet transform is obtained in this paper. Finally, according to these coincidence count values, the linear mapping method is used to achieve quantum imaging of the target. In this paper, the influence of image pixel number, single pixel exposure time and coincidence gate width on imaging results by simulation are analyzed, and the actual quantum imaging optical path is built to verify the validity of the simulation analysis.
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