Research Article
[Retracted] Detecting Digital Watermarking Image Attacks Using a Convolution Neural Network Approach
Table 10
Comparison results with existing models.
| | Ref. | Attacks | NC metric (%) | SIMM metric (%) | Model |
| | Ref. [32] | Median
Salt-and-pepper noise
Average filter | 99.66
89
082 | 87.07
61.02
41.08 | Deep learning |
| | Ref. [33] | Median
Salt-and-pepper noise
Average filter | Not used
57.75
Not used | | DWT method |
| | Ref. [34] | Median
Salt-and-pepper noise
Average filter | Not used
98.24 | | SVD |
| | Ref. [35] | Median
Salt-and-pepper noise
Average filter | 95.8
98.24
90.63 | 97.19
97.39
96.68 | DW-SVD |
| | Proposed system | Median
Salt-and-pepper noise
Average filter | 98.87
99.49
95.15 | 98.61
98.10
96.99 | CNN model |
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