Table 14 Robustness against JPEG compression attacks.
From: Robust zero-watermarking for color images using hybrid deep learning models and encryption
Attack name | JPEG compression | |||||
|---|---|---|---|---|---|---|
Factor | 5% | 10% | 20% | 30% | 40% | |
Avion | PSNR NCC | 31.3763 1.0000 | 32.8542 1.0000 | 34.3613 1.0000 | 35.2268 1.0000 | 35.7641 1.0000 |
Jelly | PSNR NCC | 30.2356 1.0000 | 33.0536 1.0000 | 35.2762 0.9995 | 36.5447 0.9991 | 37.3929 0.9990 |
Baboon | PSNR NCC | 29.1392 1.0000 | 29.5760 1.0000 | 30.0987 1.0000 | 30.4482 1.0000 | 30.6521 0.9991 |
Sailboat | PSNR NCC | 29.9892 1.0000 | 30.9633 1.0000 | 31.9154 1.0000 | 32.3637 1.0000 | 32.6343 1.0000 |
Female | PSNR NCC | 30.9916 1.0000 | 33.3499 1.0000 | 36.0481 0.9994 | 37.6515 1.0000 | 38.4897 1.0000 |
Splash | PSNR NCC | 30.9805 1.0000 | 33.0482 1.0000 | 35.0845 1.0000 | 35.9949 1.0000 | 36.5801 1.0000 |
Porthead | PSNR NCC | 32.1182 1.0000 | 34.0507 1.0000 | 35.8001 1.0000 | 37.3113 1.0000 | 37.7567 1.0000 |
Attack name | JPEG compression | |||||
|---|---|---|---|---|---|---|
Factor | 50% | 60% | 70% | 80% | 90% | |
Avion | PSNR NCC | 36.1267 1.0000 | 36.5733 1.0000 | 37.0820 1.0000 | 37.8384 1.0000 | 39.1233 1.0000 |
Jelly | PSNR NCC | 37.8213 0.9997 | 38.3442 0.9992 | 38.9532 0.9996 | 39.8781 0.9991 | 41.4739 0.9996 |
Baboon | PSNR NCC | 30.8591 0.9991 | 31.0708 0.9991 | 31.3743 0.9982 | 31.8324 0.9977 | 32.7037 0.9973 |
Sailboat | PSNR NCC | 32.8419 1.0000 | 33.0350 1.0000 | 33.2845 1.0000 | 33.6402 1.0000 | 34.3908 1.0000 |
Female | PSNR NCC | 39.1666 1.0000 | 40.1298 1.0000 | 40.9832 1.0000 | 42.0596 1.0000 | 43.8653 1.0000 |
Splash | PSNR NCC | 36.9447 1.0000 | 37.4013 1.0000 | 37.9781 1.0000 | 38.7025 1.0000 | 39.8652 1.0000 |
Porthead | PSNR NCC | 38.5223 1.0000 | 39.2416 1.0000 | 39.9404 1.0000 | 40.7650 1.0000 | 42.3187 1.0000 |
