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Blind detection for additive embedding using underdetermined ica.
| Content Provider | CiteSeerX |
|---|---|
| Author | Malik, Hafiz Khokhar, Ashfaq Ansari, Rashid Salvemini, Marco |
| Abstract | This paper presents an efficient blind watermark detec-tion scheme for additive embedding (AE) based on under-determined independent component analysis (ICA) frame-work. The proposed detector assumes that the host signal and the watermark obey non-Gaussian distributions and watermark embedding follows AE model. The proposed blind watermark detector employs blind source separation (BSS) for underdetermined mixtures to estimate watermark. Simulation results are presented showing that the proposed detector performs significantly better than existing blind de-tectors operating without suppressing the host signal inter-ference at the detector. 1 |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Blind Detection Additive Embedding Using Additive Embedding Underdetermined Mixture Simulation Result Host Signal Watermark Embedding Host Signal Inter-ference Under-determined Independent Component Analysis Blind Watermark Detector Source Separation Non-gaussian Distribution Presented Showing Ae Model Efficient Blind Watermark Detec-tion Scheme |
| Content Type | Text |
| Resource Type | Article |
