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International Conference on Optical Communication, Signal Processing, and Optical Engineering (OCSPOE)

Research on quantum key encrypted computing ghost imaging

Xiaogang Du, Jigui Mao, Yuning Han, Hongna Ye, Hongmin Wei, Lixia Cao

Published Apr 14, 2026• 0 citations
Publisher

Abstract

As a computational imaging technology, computational ghost imaging has shown considerable potential for applications in many fields such as secure communication and remote sensing detection. However, the bucket detection value of traditional ghost imaging systems is prone to eavesdropping or tampering during transmission, resulting in information leakage or image distortion. In order to further enhance the security during the imaging process, this paper proposes a scheme for computing ghost imaging based on quantum key encryption. This method uses MATLAB simulation to generate random speckle values and bucket detection values. At the sending end, a QKD system is used to generate a truly random quantum key. The bucket detection value is encrypted using the one-time pad encryption algorithm, and the ciphertext and speckle values are sent to the receiving end through a classical channel; At the receiving end, the bucket detection value is decrypted using the corresponding quantum key, and the reconstruction of the target image is completed by combining the speckle value. Experiments have shown that the encrypted bucket detection value has extremely high security during transmission, and the quality of the decrypted reconstructed image can be measured by the peak signal-to-noise ratio. When the key is accurate, it can reach over 33dB, which is basically consistent with the results obtained from unencrypted imaging.

DOI
10.1117/12.3113448

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As a computational imaging technology, computational ghost imaging has shown considerable potential for applications in many fields such as secure communication and remote sensing detection. However, the bucket detection value of traditional ghost imaging systems is prone to eavesdropping or tampering during transmission, resulting in information leakage or image distortion. In order to further enhance the security during the imaging process, this paper proposes a scheme for computing ghost imaging based on quantum key encryption. This method uses MATLAB simulation to generate random speckle values and bucket detection values. At the sending end, a QKD system is used to generate a truly random quantum key. The bucket detection value is encrypted using the one-time pad encryption algorithm, and the ciphertext and speckle values are sent to the receiving end through a classical channel; At the receiving end, the bucket detection value is decrypted using the corresponding quantum key, and the reconstruction of the target image is completed by combining the speckle value. Experiments have shown that the encrypted bucket detection value has extremely high security during transmission, and the quality of the decrypted reconstructed image can be measured by the peak signal-to-noise ratio. When the key is accurate, it can reach over 33dB, which is basically consistent with the results obtained from unencrypted imaging.
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.
We present a proof of principle of a straightforward application of distributed imaging to the efficient encryption of images. The basic idea is to exploit, in a ghost-imaging experiment, the correlations of the fields produced by a chaotically seeded parametric downconversion to deduce a Code for reconstructing the image of the object. As we demonstrate that this Code is smaller than the entire image size, we suggest that this technique can be used for more efficient image encryption by any quantum key. PACS numbers: 42.50.-p, 42.65.Lm, 03.67.Dd, 03.67.Hk Quantum key distribution (QKD) is a direct application of fundamental quantum mechanics, involving two parties, Alice and Bob, exchanging some classical information. By QKD Alice and Bob share secret random keys to implement a secure encryption-decryption algorithm (one-time-pad) without meeting, and the security of the distributed keys is based on the laws of quantum physics [1]. However at variance with classical communication
An optical encryption scheme based on a ghost imaging system with disordered speckles is proposed to obtain a higher security with a small key. In the scheme, Alice produces the random speckle patterns and obtains the detection results with the help of a computational ghost imaging (CGI) system. Then Alice permutes the order of the random speckle patterns and shares the permutation sequence as a secure key to the authorized users. With the secure key, Bob could recover the object with the principle of the CGI system, whereas, the unauthorized users could not obtain any information of the object. The numerical simulations and experimental results show that the proposed scheme is feasible with a small key, simultaneously, it has a higher security. When the eavesdropping ratio (ER) is less than 40%, the eavesdropper cannot acquire any useful information. Meanwhile, the authorized users could recover completely with the secure key.
Abstract Ensuring information and communication security in military messages, government instructions, scientific experiments, as well as in personal data processing, is critical. In this study, a new hybrid classical–quantum cryptographic scheme to protect image information and communication security is developed by combining a quantum key distribution (QKD) and compressed sensing (CS). This method employs a QKD system to generate true random codes among the remote legitimate users and utilizes these random codes to encrypt and decrypt compressed 3D image information based on the CS algorithm. Therefore, this new technique can provide computational security in the image information transmission process by the encryption and decryption of CS algorithm, and the information and communication security can be evaluated in real time by monitoring the QKD system. Furthermore, this technique can directly transmit and reconstruct the compressed 3D image information based on the modified TwIST algorithm, and thus fewer random codes are required in QKD system, which can improve the information transmission bandwidth. Consequently, this technique not only provides a new application of a QKD system but also extends the CS‐based image reconstruction from 2D to 3D. This study may open a new opportunity in the field of information and security communication.
In the digital era, the security of image data has become increasingly important. This study aims to develop an image encryption scheme based on Quantum Key Distribution (QKD) and Fractional Fourier Transform (FRFT) to enhance the security of image data transmission and storage. The proposed scheme first utilizes QKD to generate and distribute secure encryption keys, ensuring the unconditional security of the key distribution process. Subsequently, FRFT is employed to perform complex transformations on the image data, using fractional order parameters to achieve multi-scale representation of the image in both time and frequency domains, thereby increasing the complexity and security of the encryption process. Experimental results demonstrate that this scheme exhibits significant advantages in terms of the quality of encrypted images and their resistance to attacks. Specifically, the encrypted images possess high Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM), effectively resisting various attacks. Comparative analysis further verifies the superiority of this scheme in terms of security and efficiency. In summary, the proposed combination of QKD and FRFT for image encryption holds great potential and research value in the protection of image data.
We establish a quantum theory of computational ghost imaging and propose quantum projection imaging where object information can be reconstructed by quantum statistical correlation between a certain photon number of bucket signal and DMD random patterns. The reconstructed image can be negative or positive depending on the chosen photon number. In particular, the vacuum state (zero-number) projection produces a negative image with better visibility and contrast-to-noise ratio. The experimental results of quantum projection imaging agree well with theoretical simulations and show that, under the same measurement condition, vacuum projection imaging is superior to conventional and fast first-photon ghost imaging in low-light illumination.