Texture Directionality-Based Digital Watermarking in Nonsubsample Shearlet Domain

Table 7

Experimental results for the “Salt and Pepper” noise attack.

Test image	Var = 0.001; SSIM/NC/BER	Var = 0.005; SSIM/NC/BER	Var = 0.01; SSIM/NC/BER	Var = 0.05; SSIM/NC/BER
Lena	0.9634/0.9961/0.1953	0.8350/0.9951/0.2441	0.6992/0.9927/0.3662	0.2601/0.9893/0.5371
Snow	0.9750/0.9995/0.0244	0.8720/0.9941/0.2930	0.7585/0.9849/0.7568	0.3737/0.9795/1.0254
Snow2	0.9664/0.9990/0.0488	0.8484/0.9985/0.0732	0.7226/0.9980/0.0977	0.2806/0.9976/0.1221
Crowd	0.9739/0.9956/0.2197	0.8822/0.9941/0.2930	0.7835/0.9893/0.5371	0.4001/0.9727/1.3672
Woman	0.9669/1.0000/0.0000	0.8406/0.9985/0.0732	0.7232/0.9951/0.2441	0.3120/0.9946/0.2686
Lake	0.9799/1.0000/0.0000	0.8931/0.9927/0.3662	0.8074/0.9771/1.1475	0.4327/0.9771/1.1475
Plane	0.9630/0.9990/0.0488	0.8441/0.9985/0.0732	0.7197/0.9829/0.8545	0.3028/0.9751/1.2451
Baboon	0.9826/0.9995/0.0244	0.9146/0.9868/0.6592	0.8416/0.9849/0.7568	0.5131/0.9834/0.8301
Peppers	0.9597/0.9990/0.0488	0.8392/0.9941/0.2930	0.7190/0.9897/0.5127	0.2929/0.9795/1.0254
Scenery	0.9860/0.9937/0.3174	0.9363/0.9888/0.5615	0.8779/0.9600/2.0020	0.5842/0.9580/2.0996
Man	0.9685/0.9985/0.0732	0.8655/0.9956/0.2197	0.7591/0.9922/0.3906	0.3522/0.9766/1.1719
Bridge	0.9816/0.9956/0.2197	0.9150/0.9888/0.5615	0.8383/0.9785/1.0742	0.5042/0.9717/1.4160