Fig. 1. Visible light implicit imaging communication model
Fig. 2. Design of modulation and demodulation algorithms for visible light implicit imaging communication system. (a) Modulation; (b) demodulation
Fig. 3. PSNR, SSIM and accuracy rate under each modulation intensity coefficient. (a) PSNR; (b) SSIM; (c) accuracy rate
Fig. 4. Comparison between proposed and general algorithms
Fig. 5. PSNR and SSIM of texture image. (a) PSNR; (b) SSIM
Fig. 6. Design process of image classifier based on image entropy
Fig. 7. SSIM for each classification image
Fig. 8. Two dimensional information to be hidden
Fig. 9. Image with hidden information and PSNR value under each modulation intensity coefficient
Fig. 10. Images with different texture complexity and their SSIM values
Fig. 11. Original images and corresponding images with hidden information. (a) Original images; (b) images with hidden information
Fig. 12. Accuracy rate under each noise. (a) Salt and pepper noise; (b) Gaussian white noise
Number of Laplacedecomposition layers | PSNR /dB | Accuracy rate /% |
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2 | 39.904 | 98.74 | 3 | 40.462 | 97.55 | 4 | 41.640 | 80.76 |
|
Table 1. Analysis of number of Laplacian decomposition layers