Table 10 Robustness to filtering attacks.
From: Robust zero-watermarking for color images using hybrid deep learning models and encryption
Attack name | Average filter | Median filter | ||||||
---|---|---|---|---|---|---|---|---|
Factor | 3 × 3 | 5 × 5 | 7 × 7 | 3 × 3 | 5 × 5 | 7 × 7 | ||
Avion | PSNR | 36.9519 | 34.3550 | 33.1878 | PSNR | 40.0758 | 37.1999 | 35.9914 |
NCC | 1.0000 | 1.0000 | 1.0000 | NCC | 1.0000 | 1.0000 | 1.0000 | |
Gaussian Filter | Wiener Filter | |||||||
3 × 3 | 5 × 5 | 9 × 9 | 3 × 3 | 5 × 5 | 7 × 7 | |||
PSNR | 42.5468 | 42.5266 | 42.5266 | PSNR | 40.6999 | 37.5362 | 35.8220 | |
NCC | 1.0000 | 1.0000 | 1.0000 | NCC | 1.0000 | 1.0000 | 1.0000 | |
Jelly | Average Filter | Median Filter | ||||||
3 × 3 | 5 × 5 | 7 × 7 | 3 × 3 | 5 × 5 | 7 × 7 | |||
PSNR | 39.5067 | 35.7466 | 34.1959 | PSNR | 42.9774 | 38.1896 | 36.4463 | |
NCC | 0.9997 | 0.9995 | 0.9997 | NCC | 1.0000 | 1.0000 | 1.0000 | |
Gaussian Filter | Wiener Filter | |||||||
3 × 3 | 5 × 5 | 9 × 9 | 3 × 3 | 5 × 5 | 7 × 7 | |||
PSNR | 42.1588 | 42.1289 | 42.1288 | PSNR | 44.2677 | 39.5608 | 37.4058 | |
NCC | 1.0000 | 1.0000 | 1.0000 | NCC | 0.9996 | 0.9996 | 0.9996 | |
Baboon | Average Filter | Median Filter | ||||||
3 × 3 | 5 × 5 | 7 × 7 | 3 × 3 | 5 × 5 | 7 × 7 | |||
PSNR | 30.5574 | 29.8525 | 29.5626 | PSNR | 31.3107 | 30.1915 | 29.8868 | |
NCC | 0.9991 | 1.0000 | 1.0000 | NCC | 0.9986 | 1.0000 | 1.0000 | |
Gaussian Filter | Wiener Filter | |||||||
3 × 3 | 5 × 5 | 9 × 9 | 3 × 3 | 5 × 5 | 7 × 7 | |||
PSNR | 34.5939 | 34.5789 | 34.5789 | PSNR | 31.5090 | 30.4939 | 30.1315 | |
NCC | 1.0000 | 1.0000 | 1.0000 | NCC | 0.9991 | 0.9991 | 1.0000 | |
Sailboat | Average Filter | Median Filter | ||||||
3 × 3 | 5 × 5 | 7 × 7 | 3 × 3 | 5 × 5 | 7 × 7 | |||
PSNR | 33.4433 | 32.2868 | 31.6239 | PSNR | 34.1446 | 32.9641 | 32.3433 | |
NCC | 1.0000 | 1.0000 | 1.0000 | NCC | 1.0000 | 1.0000 | 1.0000 | |
Gaussian Filter | Wiener Filter | |||||||
3 × 3 | 5 × 5 | 9 × 9 | 3 × 3 | 5 × 5 | 7 × 7 | |||
PSNR | 38.8819 | 38.8646 | 38.8646 | PSNR | 35.2778 | 34.0086 | 33.1500 | |
NCC | 1.0000 | 1.0000 | 1.0000 | NCC | 1.0000 | 1.0000 | 1.0000 | |
Female | Average Filter | Median Filter | ||||||
3 × 3 | 5 × 5 | 7 × 7 | 3 × 3 | 5 × 5 | 7 × 7 | |||
PSNR | 42.4316 | 37.8891 | 35.7977 | PSNR | 46.7506 | 41.7213 | 39.5946 | |
NCC | 1.0000 | 1.0000 | 1.0000 | NCC | 1.0000 | 1.0000 | 1.0000 | |
Gaussian Filter | Wiener Filter | |||||||
3 × 3 | 5 × 5 | 9 × 9 | 3 × 3 | 5 × 5 | 7 × 7 | |||
PSNR | 35.4898 | 33.2502 | 31.4611 | PSNR | 47.7277 | 42.4023 | 39.7629 | |
NCC | 1.0000 | 1.0000 | 1.0000 | NCC | 1.0000 | 1.0000 | 1.0000 | |
Splash | Average Filter | Median Filter | ||||||
3 × 3 | 5 × 5 | 7 × 7 | 3 × 3 | 5 × 5 | 7 × 7 | |||
PSNR | 39.1545 | 36.8348 | 35.6285 | PSNR | 41.5037 | 39.5480 | 38.3779 | |
NCC | 1.0000 | 1.0000 | 1.0000 | NCC | 1.0000 | 1.0000 | 1.0000 | |
Gaussian Filter | Wiener Filter | |||||||
3 × 3 | 5 × 5 | 9 × 9 | 3 × 3 | 5 × 5 | 7 × 7 | |||
PSNR | 35.1670 | 33.4577 | 32.1496 | PSNR | 42.3717 | 40.3789 | 39.1574 | |
NCC | 1.0000 | 1.0000 | 1.0000 | NCC | 1.0000 | 1.0000 | 1.0000 | |
Porthead | Average Filter | Median Filter | ||||||
3 × 3 | 5 × 5 | 7 × 7 | 3 × 3 | 5 × 5 | 7 × 7 | |||
PSNR | 41.4144 | 36.7763 | 34.7859 | PSNR | 46.5120 | 40.1981 | 37.7902 | |
NCC | 1.0000 | 1.0000 | 1.0000 | NCC | 1.0000 | 1.0000 | 1.0000 | |
Gaussian Filter | Wiener Filter | |||||||
3 × 3 | 5 × 5 | 9 × 9 | 3 × 3 | 5 × 5 | 7 × 7 | |||
PSNR | 45.6489 | 45.6319 | 45.6319 | PSNR | 46.0645 | 40.5581 | 38.1893 | |
NCC | 1.0000 | 1.0000 | 1.0000 | NCC | 1.0000 | 1.0000 | 1.0000 |