Optical Instruments, Volume. 45, Issue 1, 60(2023)

Multiple image encryption studies based on a cascaded phase retrieval and ghost imaging

Leihong ZHANG1, Yahui SU2、*, Kaimin WANG1, Dawei ZHANG1, Wei PENG3, Fengshou WU3, and Jie ZHOU4
Author Affiliations
  • 1School of Optical-Electrical and computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  • 2College of Communication and Art Design, University of Shanghai for Science and Technology, Shanghai 200093, China
  • 3China Shipbuilding Industry Institute of the Engineering Investigation and Design Co., Ltd., Shanghai 200063, China
  • 4Library, Shanghai University of Engineering Science, Shanghai 201620, China
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    Optical information processing technology has the characteristics of high speed and parallelism. The wavelength of light is short and the information capacity is large. At the same time, it has many attributes such as amplitude, phase, wavelength and polarization, which could be the carrier of multi-dimensional information. Therefore, optical encryption is of great significance in the field of information security transmission and is widely used in the field of image encryption. For multiple image encryption, this paper proposes a multi image encryption algorithm based on cascaded phase iteration and computational ghost imaging. This method can encrypt multiple images efficiently at the same time, which is simple, safe and reliable, and has less transmission data. The encryption effect of this method is evaluated by using correlation coefficient, and the effectiveness and security of this method are verified by simulation.

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    Leihong ZHANG, Yahui SU, Kaimin WANG, Dawei ZHANG, Wei PENG, Fengshou WU, Jie ZHOU. Multiple image encryption studies based on a cascaded phase retrieval and ghost imaging[J]. Optical Instruments, 2023, 45(1): 60

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    Paper Information

    Category: DESIGN AND RESEARCH

    Received: Sep. 8, 2022

    Accepted: --

    Published Online: Mar. 20, 2023

    The Author Email: SU Yahui (yhsucn@163.com)

    DOI:10.3969/j.issn.1005-5630.2023.001.009

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