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