Abstract
Computational ghost imaging (CGI) is a method of acquiring object information by measuring light field intensity, which would be used to achieve imaging in a complicated environment. The main issue to be addressed in CGI technology is how to achieve rapid and high-quality imaging while assuring the secure transmission of detection data in practical distant imaging applications. In order to address the mentioned issues, this paper proposes a remote secure CGI method based on quantum communication technology. Using the quantum key distribution (QKD) network, the CGI system can be reconstructed while solving the problem of information security transmission between the detector and the reconstructed computing device. By exploring the influence of different random measurement matrices on the quality of image reconstruction, it is found that the randomness of the numerical sequence constituting the matrix is positively correlated with the imaging quality. Based on this discovery, a new type of quantum cryptography measurement matrix is constructed using quantum cryptography with good randomness. In addition, through further orthogonalization and normalization of the matrix, the matrix has both good randomness and orthogonality, and high-quality imaging results can be obtained at a low sampling rate. The feasibility and effectiveness of the method are verified by simulation imaging experiments. Compared with the traditional GI system, the method proposed in this paper has higher transmission security and high-quality imaging under this premise, which provides a new idea for the practical development of CGI technology.
Highlights
In recent years, the performance of core array sensors such as Charge-coupled Device (CCD) cameras or Complementary Metal-Oxide-Semiconductor (CMOS) cameras can no longer meet the imaging requirements in complex environments, such as low light imaging, non-lineof-sight imaging, and imaging through scattering media
We focus on the relationship between HGI, SOGI, and SONGI in this experiment to observe whether the orthogonal normalized quantum cryptography measurement matrix (QCM) is higher than the Hadamard measurement matrix
It is found that the randomness of the sequence constituting the measurement matrix is closely related to the image reconstruction results
Summary
The performance of core array sensors such as Charge-coupled Device (CCD) cameras or Complementary Metal-Oxide-Semiconductor (CMOS) cameras can no longer meet the imaging requirements in complex environments, such as low light imaging, non-lineof-sight imaging, and imaging through scattering media. The quantum cryptography generated by the QKD system has high randomness, which is a good data source for constructing orthogonality and randomness measurement matrices and can improve the imaging quality of computational ghost imaging reconstructed target images. A quantum cryptography measurement matrix with both randomness and orthogonality is constructed to improve the efficiency of the imaging while innovating a new computational GI system
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