Infrared and Laser Engineering, Volume. 54, Issue 8, 20250001(2025)

Multifunctional integral imaging steganography toward battlefield situation awareness

Yang YANG1, Gaoyong LU1, Hongran ZENG2, and Xiaowei LI2、*
Author Affiliations
  • 1Southwest China Institute of Electronic Technology, China Electronics Technology Group Corporation, Chengdu 610036, China
  • 2School of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China
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    Figures & Tables(16)
    Schematic of 3D integral imaging multilayer steganography
    Schematic of 3D ROI extraction technique based on spatial information segmentation
    Illustration of 3D ROI histogram-based watermark embedding
    Naked-eye 3D host image and watermarks for experiment
    Naked-eye 3D display principle and device
    3D ROI extracting results based on different methods. (a) Cam-Net and (b) BasNet[19] based on spatial texture segmentation; (c) Cam-Net based on sub-aperture image mapping[15] and (d) hard-thresholding (The red box compares the ROI extracted by the four methods at a viewing angle of –14° along the y-axis, the green box compares the extracted salient texture)
    Watermarked 2D elemental image array and 3D naked-eye display: (a) "Rocket launcher" and (b) "Lung”
    Quantitative imperceptibility for six different 3D medical objects
    Light field display under six types of attacks and extracted text watermark
    Extracted multi-logo-multi-depth light field watermark under six attacks
    Details of recovered light field watermark
    Extracted single-logo-single-depth watermark under six attacks
    Extracted multi-logo multi-depth light field watermark embedded by single-layer SVD algorithm [20] under six attacks
    Extracted multi-logo-multi-depth watermark embedded by single-layer SVD algorithm [20] under six attacks
    • Table 1. Sensitivity test of fragile watermark

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      Table 1. Sensitivity test of fragile watermark

      AttacksMinimal sensitivity
      Gaussian filteringσ=0.2; Kernel: 3×3
      Gaussian noisingVariance: 0.001
      ROI croppingCropping region: 3 pixel×3 pixel
      JPEG compressionCompressing rate: 0.0001
      RotationAngle: 0.1°
      RONI cropping-
      Salt & Pepper noisingDensity: 0.0008
    • Table 2. Robustness comparison in terms of SSIM and PSNR

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      Table 2. Robustness comparison in terms of SSIM and PSNR

      AttacksSSIMPSNR
      Ref. [20]ProposedRef. [20]Proposed
      ROI cropping0.31250.76489.37625.128
      RONI cropping0.36510.63455.63119.56
      Gaussian filtering0.26570.8025 12.3830.56
      Gaussian noise0.15600.53288.56116.31
      JPEG compression0.87530.950132.48135.28
      Rotation0.49310.625413.7918.95
      Salt & pepper noise0.19350.49219.00312.59
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    Yang YANG, Gaoyong LU, Hongran ZENG, Xiaowei LI. Multifunctional integral imaging steganography toward battlefield situation awareness[J]. Infrared and Laser Engineering, 2025, 54(8): 20250001

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    Paper Information

    Category: Optical imaging, display and information processing

    Received: Jan. 2, 2025

    Accepted: --

    Published Online: Aug. 29, 2025

    The Author Email:

    DOI:10.3788/IRLA20250001

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