A joint image encryption and watermarking algorithm based on compressive sensing and chaotic map*
Xiao Di, Cai Hong-Kun, Zheng Hong-Ying†
       
The reconstructed images under different compressive ratios: (a) reconstructed Lena ( p = 0.80, PSNR = 38.1 dB); (b) reconstructed Lena ( p = 0.53, PSNR = 34.2 dB); (c) reconstructed Lena ( p = 0.37, PSNR = 26.2 dB); (d) reconstructed Plane ( p = 0.80, PSNR = 39.5 dB); (e) reconstructed Plane ( p = 0.53, PSNR = 34.4 dB); (f) reconstructed Plane ( p =0.37, PSNR = 25.2dB); (g) reconstructed Couple ( p = 0.80, PSNR = 34.8 dB); (h) reconstructed Couple ( p = 0.53, PSNR = 30.0 dB); (i) reconstructed Couple ( p = 0.37, PSNR = 23.2 dB); (j) reconstructed Baboon ( p = 0.80, PSNR = 27.2 dB); (k) reconstructed Baboon ( p = 0.53, PSNR = 22.7 dB); (l) reconstructed Baboon ( p = 0.37, PSNR = 20.1 dB); (m) reconstructed MR-head ( p =0.80, PSNR = 36.6 dB); (n) reconstructed MR-head ( p = 0.53, PSNR = 33.1 dB); (o) reconstructed MR-head ( p = 0.37, PSNR = 27.1 dB); (p) reconstructed Texture image 2 ( p = 0.80, PSNR = 34.0 dB); (q) reconstructed Texture image 2 ( p = 0.53, PSNR = 29.9 dB); (r) reconstructed Texture image 2 ( p = 0.37, PSNR = 22.9 dB).