Infrared and Laser Engineering, Volume. 49, Issue 4, 0426001(2020)

Asymmetric optical image encryption based on vector decomposition and phase-truncated

Yuan Guo, Shiwei Jing*, Xin Xu, and Liansuo Wei
Author Affiliations
  • School of Computer and Control Engineering, Qiqihar University, Qiqihar 161006, China
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    Figures & Tables(13)
    Vector decomposition schematic
    Encryption process
    Decryption schematic diagram
    Result and key encryption and decryption
    CC and MSE of the decrypted image and plaintext when the decryption key is wrong
    Decrypted image after key error
    UACIandNPCR comparison diagram of changing the pixel value size of the first point in plaintext
    Comparison of UACIand NPCR for exchanged plaintext pixel position
    Anti-selective plaintext attack analysis
    Histogram
    lena horizontal adjacent pixel distribution map
    • Table 1. Information entropy comparison

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      Table 1. Information entropy comparison

      ImagePlain textRef. [31] Ref. [32] Ref. [33] Proposed algorithm
      lean7.444 26.987 76.960 17.148 57.916 2
      logo17.145 57.090 77.309 47.906 2
    • Table 2. Correlation coefficients of adjacent pixels

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      Table 2. Correlation coefficients of adjacent pixels

      leanlogo
      LevelVerticalOppositeLevelVerticalOpposite
      Plaintext0.93570.90850.96820.86180.76800.8480
      Ref. [31] 0.00530.00370.0018−0.0113−0.0069−0.0029
      Ref. [32] −0.0048−0.00320.0025−0.0121−0.01110.0019
      Ref. [33] 0.0029−0.00460.0009−0.00680.0019−0.0032
      Proposed algorithm−0.0017−0.0005−0.0015−0.00110.00080.0021
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    Yuan Guo, Shiwei Jing, Xin Xu, Liansuo Wei. Asymmetric optical image encryption based on vector decomposition and phase-truncated[J]. Infrared and Laser Engineering, 2020, 49(4): 0426001

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    Paper Information

    Received: Dec. 12, 2019

    Accepted: --

    Published Online: May. 27, 2020

    The Author Email: Jing Shiwei (2641235293@qq.com)

    DOI:10.3788/IRLA202049.0426001

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