Technical Program

Paper Detail

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
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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