Table 5 BER of watermark images extracted from different attacks.
From: An adaptive robust watermarking scheme based on chaotic mapping
Type of attack | Airplane | Baboon | Goldhill | House | Lake | Peppers |
---|---|---|---|---|---|---|
No attack | 0 | 0 | 0 | 0 | 0 | 0 |
Salt and pepper noise (m = 0, v = 0.01) | 0.0806 | 0.0946 | 0.0678 | 0.0766 | 0.0687 | 0.0779 |
Salt and pepper noise (m = 0, v = 0.05) | 0.2601 | 0.2476 | 0.2265 | 0.2382 | 0.2118 | 0.2366 |
Gaussian noise (m = 0, v = 0.01) | 0.1643 | 0.1824 | 0.1522 | 0.1463 | 0.1577 | 0.1673 |
Gaussian noise (m = 0, v = 0.05) | 0.4082 | 0.4013 | 0.3618 | 0.3632 | 0.3406 | 0.3699 |
Speckle noise (m = 0, v = 0.01) | 0.1359 | 0.1324 | 0.0679 | 0.1047 | 0.0907 | 0.1119 |
Speckle noise (m = 0, v = 0.05) | 0.3651 | 0.3064 | 0.2292 | 0.2833 | 0.2461 | 0.3018 |
Sharpening | 0.1497 | 0.2515 | 0.1997 | 0.1799 | 0.1718 | 0.1593 |
Gaussian filter (3\(\times \)3) | 0.0711 | 0.2201 | 0.1069 | 0.1065 | 0.0766 | 0.0606 |
Gaussian filter (5\(\times \)5) | 0.1073 | 0.2780 | 0.1473 | 0.1552 | 0.1125 | 0.0848 |
Mean filter (3\(\times \)3) | 0.0870 | 0.2577 | 0.1307 | 0.1354 | 0.0970 | 0.0742 |
Mean filter (5\(\times \)5) | 0.9818 | 0.3750 | 0.2406 | 0.2588 | 0.1917 | 0.1504 |
Rotation (5\(^\circ \)) | 0.2105 | 0.2136 | 0.2783 | 0.2360 | 0.1474 | 0.1923 |
Rotation (10\(^\circ \)) | 0.3026 | 0.2893 | 0.2782 | 0.2783 | 0.2396 | 0.2788 |
Flip vertical | 0 | 0 | 0 | 0 | 0 | 0 |
Cropping (10%) | 0.0789 | 0.1726 | 0.0431 | 0.1047 | 0.1561 | 0.0996 |
Cropping (20%) | 0.2687 | 0.2564 | 0.1531 | 0.2415 | 0.2867 | 0.2557 |
JPEG (QF=90) | 0.0080 | 0.0696 | 0.0354 | 0.0175 | 0.0318 | 0.0054 |
JPEG2000 (QF=90) | 0.0397 | 0.1217 | 0.1327 | 0.0747 | 0.0516 | 0.0426 |
Gamma correction (gama=0.8) | 0.3228 | 0.3487 | 0.1588 | 0.2127 | 0.1979 | 0.2508 |