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| Content Provider | ACM Digital Library |
|---|---|
| Author | Piper, Angela Safavi-Naini, Reihaneh Mertins, Alfred |
| Abstract | If digital watermarking is to adequately protect content in systems which provide both resolution and quality scalability, then the watermarking algorithms used must provide both resolution and quality scalability. Although there exists a tradeoff between resolution and quality scalability, we demonstrate that it is possible to achieve both types by taking advantage of human visual system characteristics to increase quality scalability without compromising resolution scalability. To this end, we present a new algorithm for texture detection, which is specifically designed to avoid the false detection of edges as well as smooth regions. Furthermore, we present a case for texture detection using a single resolution only; noting that, in a watermarking context, this method offers advantages over the more popular multi-scale approach. |
| Starting Page | 79 |
| Ending Page | 90 |
| Page Count | 12 |
| File Format | |
| ISBN | 1595930329 |
| DOI | 10.1145/1073170.1073186 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2005-08-01 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Texture analysis Scalable Digital watermarking |
| Content Type | Text |
| Resource Type | Article |
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