Research Article
Destroy the Robust Commercial Watermark via Deep Convolutional Encoder-Decoder Network
Table 3
Performance comparison in terms of removal effect and image quality for test images.
| Test images | | | | Strength of watermark | PSNR | SSIM | Strength of watermark | PSNR | SSIM | Strength of watermark | PSNR | SSIM |
| Proposed method | None | 39.48 | 0.974 4 | None | 36.76 | 0.915 4 | None | 36.35 | 0.941 3 | JPEG | = 30 | None | 24.28 | 0.786 6 | Very weak | 23.04 | 0.762 7 | Very weak | 22.96 | 0.780 5 | = 50 | Very weak | 24.76 | 0.824 8 | Weak | 24.45 | 0.800 2 | Weak | 23.61 | 0.827 5 | = 70 | Weak | 25.18 | 0.860 4 | Weak | 24.76 | 0.838 7 | Weak | 24.13 | 0.862 6 |
| Gaussian noise | = 2 | Medium | 26.61 | 0.670 3 | Medium | 26.50 | 0.541 7 | Medium | 26.48 | 0.777 1 | = 4 | Weak | 20.94 | 0.430 8 | Weak | 20.61 | 0.286 7 | Weak | 20.51 | 0.535 1 | = 8 | Very weak | 14.83 | 0.217 1 | Very weak | 14.49 | 0.129 3 | Weak | 14.55 | 0.276 8 |
| Median filter | = 2 | Strong | 22.77 | 0.779 9 | Medium | 23.55 | 0.876 0 | Medium | 21.40 | 0.779 7 | = 5 | Strong | 22.59 | 0.668 7 | Medium | 23.58 | 0.819 0 | Medium | 20.53 | 0.548 3 | = 7 | Medium | 22.10 | 0.594 4 | Medium | 23.42 | 0.779 4 | Medium | 19.92 | 0.422 5 |
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