Table 13 Robustness to noise attacks.
From: Robust zero-watermarking for color images using hybrid deep learning models and encryption
Attack name | Gaussian noise | Salt and Pepper noise | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
Parameter | 0.1 | 0.2 | 0.3 | 0.5 | 0.1 | 0.2 | 0.3 | 0.5 | ||
Avion | PSNR NCC | 27.5622 1.0000 | 27.4190 0.9995 | 27.3569 1.0000 | 27.2931 1.0000 | PSNR NCC | 37.1221 1.0000 | 34.0713 1.0000 | 32.3246 0.9986 | 30.9049 1.0000 |
Jelly | PSNR NCC | 27.5719 0.9991 | 27.4467 1.0000 | 27.4748 1.0000 | 27.3145 1.0000 | PSNR NCC | 37.1286 0.9992 | 34.1039 1.0000 | 32.3538 1.0000 | 30.1987 1.0000 |
Baboon | PSNR NCC | 27.5714 0.9977 | 27.4161 1.0000 | 27.3609 1.0000 | 27.2996 1.0000 | PSNR NCC | 37.0975 0.9986 | 34.0943 1.0000 | 32.3122 0.9995 | 30.0949 1.0000 |
Sailboat | PSNR NCC | 27.6036 1.0000 | 27.4707 0.9994 | 27.4007 1.0000 | 27.3441 1.0000 | PSNR NCC | 37.1370 1.0000 | 34.1134 1.0000 | 32.3522 1.0000 | 30.1447 1.0000 |
Female | PSNR NCC | 27.5754 1.0000 | 27.4273 1.0000 | 27.3568 1.0000 | 27.2968 1.0000 | PSNR NCC | 37.0678 0.9974 | 34.0991 0.9981 | 32.2992 1.0000 | 30.1175 1.0000 |
Splash | PSNR NCC | 27.7001 1.0000 | 27.5581 1.0000 | 27.4918 1.0000 | 27.4171 1.0000 | PSNR NCC | 37.2528 1.0000 | 34.2030 1.0000 | 32.4556 1.0000 | 30.2135 1.0000 |
Porthead | PSNR NCC | 27.5666 0.9974 | 27.4203 1.0000 | 27.3393 1.0000 | 27.2897 1.0000 | PSNR NCC | 37.0708 1.0000 | 34.0890 1.0000 | 32.3048 1.0000 | 30.1034 1.0000 |
