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| Paper: | IMDSP-L4.2 |
| Session: | Watermarking II |
| Time: | Thursday, May 20, 13:20 - 13:40 |
| Presentation: |
Lecture |
| Topic: |
Image and Multidimensional Signal Processing: Image and Video Authentication and Watermarking |
| Title: |
AN ANALYSIS OF QUANTIZATION BASED EMBEDDING-DETECTION TECHNIQUES |
| Authors: |
Husrev Sencar; New Jersey Institute of Technology | | |
| | Mahalingam Ramkumar; Mississippi State University | | |
| | Ali Akansu; New Jersey Institute of Technology | | |
| Abstract: |
We analyze quantization based embedding and detection schemes in terms of the data hiding framework introduced in Refs. [1;2].This framework enables a better connection between analytical results and practical designs. We lay out the performance evaluation criteria and present comparison results for scalar quantization based data hiding techniques. Embedder-detector designs are evaluated based on three key issues. These are: 1) the type of post-processing employed at the embedder 2) the form of demodulation 3) the criteria used to optimize embedding-detection parameters. Data hiding methods are compared based on rate, correlation, and probability of error performance merits. |
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