Infrared and Laser Engineering, Volume. 54, Issue 8, 20250001(2025)
Multifunctional integral imaging steganography toward battlefield situation awareness
Fig. 2. Schematic of 3D ROI extraction technique based on spatial information segmentation
Fig. 3. Illustration of 3D ROI histogram-based watermark embedding
Fig. 6. 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
Fig. 7. Watermarked 2D elemental image array and 3D naked-eye display: (a) "Rocket launcher" and (b) "Lung”
Fig. 8. Quantitative imperceptibility for six different 3D medical objects
Fig. 9. Light field display under six types of attacks and extracted text watermark
Fig. 10. Extracted multi-logo-multi-depth light field watermark under six attacks
Fig. 12. Extracted single-logo-single-depth watermark under six attacks
Fig. 13. Extracted multi-logo multi-depth light field watermark embedded by single-layer SVD algorithm [20] under six attacks
Fig. 14. Extracted multi-logo-multi-depth watermark embedded by single-layer SVD algorithm [20] under six attacks
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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
Category: Optical imaging, display and information processing
Received: Jan. 2, 2025
Accepted: --
Published Online: Aug. 29, 2025
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