Steganography Algorithm Based on the Nonlocal Maximum Likelihood Noise Estimation for Mobile Applications

Figure 6

Resulting recover images obtained. Efficiency of the proposed algorithm via image quality metrics for test images.

(a) PSNR = . RMSE = 0. NAE = 0. IF = 1. = 1

(b) PSNR = . RMSE = 0. NAE = 0. IF = 1. = 1

(c) PSNR = . RMSE = 1.4789. NAE = 0.0003. IF = 0.9953. = 0.9914

(d) PSNR = . RMSE = 0. NAE = 0. IF = 1. = 1

(e) PSNR = . RMSE = 0. NAE = 0. IF = 1. = 1

(f) PSNR = 34.3408. RMSE = 4.8927. NAE = -0.0016. IF = 0.9790. = 0.9364

(g) PSNR = . RMSE = 0. NAE = 0. IF = 1. = 1

(h) PSNR = . RMSE = 0. NAE = 0. IF = 1. = 1