Current Optics and Photonics

Optical Society of Korea (한국광학회)
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Research on Camouflaged Encryption Scheme Based on Hadamard Matrix and Ghost Imaging Algorithm

  • Leihong, Zhang (College of Communication and Art Design, University of Shanghai for Science and Technology) ;
  • Yang, Wang (College of Communication and Art Design, University of Shanghai for Science and Technology) ;
  • Hualong, Ye (School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology) ;
  • Runchu, Xu (College of Communication and Art Design, University of Shanghai for Science and Technology) ;
  • Dawei, Zhang (School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology)
  • Received : 2021.04.05
  • Accepted : 2021.08.12
  • Published : 2021.12.25
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Abstract

A camouflaged encryption scheme based on Hadamard matrix and ghost imaging is proposed. In the process of the encryption, an orthogonal matrix is used as the projection pattern of ghost imaging to improve the definition of the reconstructed images. The ciphertext of the secret image is constrained to the camouflaged image. The key of the camouflaged image is obtained by the method of sparse decomposition by principal component orthogonal basis and the constrained ciphertext. The information of the secret image is hidden into the information of the camouflaged image which can improve the security of the system. In the decryption process, the authorized user needs to extract the key of the secret image according to the obtained random sequences. The real encrypted information can be obtained. Otherwise, the obtained image is the camouflaged image. In order to verify the feasibility, security and robustness of the encryption system, binary images and gray-scale images are selected for simulation and experiment. The results show that the proposed encryption system simplifies the calculation process, and also improves the definition of the reconstructed images and the security of the encryption system.

Keywords

Acknowledgement

This research is supported by Natural Science Foundation of Shanghai (Grant No. 18ZR1425800), and the National Natural Science Foundation of China (NSFC) (Grant No. 61875125).

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