Research Article
Destroy the Robust Commercial Watermark via Deep Convolutional Encoder-Decoder Network
Table 4
Image quality of watermarked images with different intensities after being attacked.
| | F16 | Lena | Man | Pepper | Baboon |
| a = 1 | PSNR | 40.10 | 39.68 | 41.29 | 38.69 | 37.29 | SSIM | 0.956 0 | 0.953 0 | 0.982 1 | 0.934 3 | 0.946 6 |
| a = 2 | PSNR | 39.36 | 38.74 | 40.37 | 37.75 | 36.69 | SSIM | 0.950 3 | 0.946 2 | 0.978 3 | 0.926 4 | 0.942 4 |
| a = 3 | PSNR | 38.80 | 38.01 | 39.95 | 37.27 | 36.48 | SSIM | 0.945 6 | 0.940 7 | 0.976 6 | 0.920 9 | 0.942 6 |
| a = 4 | PSNR | 38.37 | 37.20 | 39.48 | 36.76 | 36.35 | SSIM | 0.941 8 | 0.932 3 | 0.974 4 | 0.915 4 | 0.941 3 |
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