Acta Photonica Sinica, Volume. 50, Issue 12, 1210002(2021)

Ciphertext Multi-image Reversible Information Hiding Based on Datagram Reorganization and Optical Interference

Yuan GUO, Xuewen WANG*, Chong WANG, and Jinlin JIANG
Author Affiliations
  • School of Computer and Control Engineering, Qiqihar University, Qiqihar , Heilongjiang 161006, China
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    Figures & Tables(19)
    Datagram format
    Principle of interference and vector decomposition
    Minimized interference
    Reversible information hiding embedding process with multi-image interference
    Extraction process of multi-image interference reversible information hiding
    Reversible information hiding theory of multiple images
    Embedding and Restore
    Embedded image and histogram
    PSNR of restore contains secret images with different carriers at different embedding rates
    Results of reduction multiple analysis
    Quantitative analysis results
    Robust analysis results
    Add noise reduction renderings
    • Table 1. PSNR and SSIM of images at each stage

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      Table 1. PSNR and SSIM of images at each stage

      ImageAnimalBarbaraMonarchCameramanBaboonRestore imageRestore contains secret images
      PSNR/dBinfinfinfinfinfinf42.050 057
      SSIM1111110.982 350
    • Table 2. Information entropy of ciphertext images and embedded images at different embedding rates

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      Table 2. Information entropy of ciphertext images and embedded images at different embedding rates

      Carrier imagesEncryption imageInsert 16 bppInsert 32 bppInsert 64 bppInsert 128 bppInsert 512 bpp
      7.445 57.042 87.040 67.036 37.041 27.039 87.046 5
    • Table 3. PSNR and SSIM of each restored image at different embedding rates

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      Table 3. PSNR and SSIM of each restored image at different embedding rates

      Embedding rateRestore hidden image (PSNR/SSIM)

      Restore image

      (PSNR/SSIM)

      Restore contains secret images

      (PSNR/SSIM)

      16 bppinf/1.0inf/1.052.201 1 dB/0.997 7
      32 bppinf/1.0inf/1.047.613 4 dB/0.993 5
      64 bppinf/1.0inf/1.040.997 1 dB/0.971 7
      128 bppinf/1.0inf/1.033.831 3 dB/0.883 9
      512 bppinf/1.0inf/1.027.105 6 dB/0.663 8
    • Table 4. Comparison of the maximum embedding rate of different algorithms and PSNR of restore contains secret images

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      Table 4. Comparison of the maximum embedding rate of different algorithms and PSNR of restore contains secret images

      Carrier imagesEmbedding rate/bppPNSR/dB

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      Average1.063 60.51.615 883247.4941.8445.7835.4648.02
      Lena1.412 20.51.985 383246.1246.3744.1935.8647.61
      Airplane1.696 50.52.318 483243.2746.4541.0935.1847.29
      Barbara0.855 50.51.457 483249.8540.2245.3135.3248.53
      Baboon0.290 20.50.581 083256.4229.7453.4935.4947.05
      Man1.387 40.51.734 283245.4344.8645.2335.4748.44
      Cameraman1.641 90.51.618 383243.8443.4245.3635.4349.21
    • Table 5. Robust analysis results of multi-image datagram reconstruction

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      Table 5. Robust analysis results of multi-image datagram reconstruction

      CropCan reconstructGaussian noiseCan reconstructSalt & pepper noiseCan reconstruct
      200×200(Not cut to check area)Yes0.001Yes0.01Yes
      400×400(Not cut to check area)Yes0.002Yes0.1Yes
      99×99(Cut to check area)Yes0.003Yes0.25Yes
      100×100(Cut to check area)No0.004No0.26No
    • Table 6. Time spent by each owner at different embedding rates(s)

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      Table 6. Time spent by each owner at different embedding rates(s)

      Embedding rateCarrier ownerInformation hiderHidden information receiverCarrier receiver
      16 bpp0.496 70.213 40.746 00.807 8
      32 bpp0.496 90.442 81.492 01.555 8
      64 bpp0.495 70.849 72.930 12.996 9
      128 bpp0.496 61.655 55.883 25.947 1
      512 bpp0.497 63.298 111.708 611.771 5
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    Yuan GUO, Xuewen WANG, Chong WANG, Jinlin JIANG. Ciphertext Multi-image Reversible Information Hiding Based on Datagram Reorganization and Optical Interference[J]. Acta Photonica Sinica, 2021, 50(12): 1210002

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    Paper Information

    Category:

    Received: May. 25, 2021

    Accepted: Jul. 28, 2021

    Published Online: Jan. 25, 2022

    The Author Email: WANG Xuewen (857603360@qq.com)

    DOI:10.3788/gzxb20215012.1210002

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