• Acta Optica Sinica
  • Vol. 41, Issue 3, 0306002 (2021)
Wuxun Gu and Lifang Feng*
Author Affiliations
  • School of Computer and Communication Engineering, Beijing University of Science and Technology, Beijing 100083, China
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    DOI: 10.3788/AOS202141.0306002 Cite this Article Set citation alerts
    Wuxun Gu, Lifang Feng. Modulation Algorithm for Implicit Imaging Communications Based on Visible Light[J]. Acta Optica Sinica, 2021, 41(3): 0306002 Copy Citation Text show less
    Visible light implicit imaging communication model
    Fig. 1. Visible light implicit imaging communication model
    Design of modulation and demodulation algorithms for visible light implicit imaging communication system. (a) Modulation; (b) demodulation
    Fig. 2. Design of modulation and demodulation algorithms for visible light implicit imaging communication system. (a) Modulation; (b) demodulation
    PSNR, SSIM and accuracy rate under each modulation intensity coefficient. (a) PSNR; (b) SSIM; (c) accuracy rate
    Fig. 3. PSNR, SSIM and accuracy rate under each modulation intensity coefficient. (a) PSNR; (b) SSIM; (c) accuracy rate
    Comparison between proposed and general algorithms
    Fig. 4. Comparison between proposed and general algorithms
    PSNR and SSIM of texture image. (a) PSNR; (b) SSIM
    Fig. 5. PSNR and SSIM of texture image. (a) PSNR; (b) SSIM
    Design process of image classifier based on image entropy
    Fig. 6. Design process of image classifier based on image entropy
    SSIM for each classification image
    Fig. 7. SSIM for each classification image
    Two dimensional information to be hidden
    Fig. 8. Two dimensional information to be hidden
    Image with hidden information and PSNR value under each modulation intensity coefficient
    Fig. 9. Image with hidden information and PSNR value under each modulation intensity coefficient
    Images with different texture complexity and their SSIM values
    Fig. 10. Images with different texture complexity and their SSIM values
    Original images and corresponding images with hidden information. (a) Original images; (b) images with hidden information
    Fig. 11. Original images and corresponding images with hidden information. (a) Original images; (b) images with hidden information
    Accuracy rate under each noise. (a) Salt and pepper noise; (b) Gaussian white noise
    Fig. 12. Accuracy rate under each noise. (a) Salt and pepper noise; (b) Gaussian white noise
    Number of Laplacedecomposition layersPSNR /dBAccuracy rate /%
    239.90498.74
    340.46297.55
    441.64080.76
    Table 1. Analysis of number of Laplacian decomposition layers
    Wuxun Gu, Lifang Feng. Modulation Algorithm for Implicit Imaging Communications Based on Visible Light[J]. Acta Optica Sinica, 2021, 41(3): 0306002
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