Current Optics and Photonics

Optical Society of Korea (한국광학회)
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Research on Equal-resolution Image Hiding Encryption Based on Image Steganography and Computational Ghost Imaging

  • Leihong Zhang (School of Optical-electrical and Computer Engineering, University of Shanghai for Science and Technology) ;
  • Yiqiang Zhang (School of Optical-electrical and Computer Engineering, University of Shanghai for Science and Technology) ;
  • Runchu Xu (School of Optical-electrical and Computer Engineering, University of Shanghai for Science and Technology) ;
  • Yangjun Li (School of Optical-electrical and Computer Engineering, University of Shanghai for Science and Technology) ;
  • Dawei Zhang (School of Optical-electrical and Computer Engineering, University of Shanghai for Science and Technology)
  • Received : 2023.12.27
  • Accepted : 2024.04.30
  • Published : 2024.06.25
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Abstract

Information-hiding technology is introduced into an optical ghost imaging encryption scheme, which can greatly improve the security of the encryption scheme. However, in the current mainstream research on camouflage ghost imaging encryption, information hiding techniques such as digital watermarking can only hide 1/4 resolution information of a cover image, and most secret images are simple binary images. In this paper, we propose an equal-resolution image-hiding encryption scheme based on deep learning and computational ghost imaging. With the equal-resolution image steganography network based on deep learning (ERIS-Net), we can realize the hiding and extraction of equal-resolution natural images and increase the amount of encrypted information from 25% to 100% when transmitting the same size of secret data. To the best of our knowledge, this paper combines image steganography based on deep learning with optical ghost imaging encryption method for the first time. With deep learning experiments and simulation, the feasibility, security, robustness, and high encryption capacity of this scheme are verified, and a new idea for optical ghost imaging encryption is proposed.

Keywords

Acknowledgement

The authors thank the National Natural Science Foundation of China, Shanghai Industrial Collaborative Innovation Project and the development fund for Shanghai talents for help identifying collaborators for this work.

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