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| Content Provider | ACM Digital Library |
|---|---|
| Author | Nafornita, Corina |
| Abstract | Robust watermarking using pixel-wise masking in the wavelet domain proves to be quite robust against common signal processing. However, because embedding is made only in the highest resolution level, the watermark information can be easily erased by a potential attacker. In this paper, we propose a modified perceptual mask that models the human visual system behavior in a better way. The texture content is appreciated with the local standard deviation of the original image, which is further compressed in the wavelet domain. Since the approximation image of the coarsest level contains too little information, we appreciate the luminance content using a higher resolution level approximation subimage. Embedding is made in all the detail subbands except the coarsest level, for attack resilience; we propose three types of detectors that take advantage of the wavelet hierarchical decomposition. Tests were made for different attacks (JPEG compression, median filtering, resizing, cropping, gamma correction and blurring), that prove the effectiveness of the new pixel-wise mask in comparison with the previous system. |
| Starting Page | 221 |
| Ending Page | 228 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781595938572 |
| DOI | 10.1145/1288869.1288901 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2007-09-20 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Wavelets Pixel-wise mask Robust watermark |
| Content Type | Text |
| Resource Type | Article |
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