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2005
Springer

Improved watermark detection for spread-spectrum based watermarking using independent component analysis

9 years 9 months ago
Improved watermark detection for spread-spectrum based watermarking using independent component analysis
This paper presents an efficient blind watermark detection/decoding scheme for spread spectrum (SS) based watermarking, exploiting the fact that in SS-based embedding schemes the embedded watermark and the host signal are mutually independent and obey non-Gaussian distribution. The proposed scheme employs the theory of independent component analysis (ICA) and posed the watermark detection as a blind source separation problem. The proposed ICA-based blind detection/decoding scheme has been simulated using real-world audio clips. The simulation results show that the ICA-based detector can detect and decode watermark with extremely low decoding bit error probability (less than 0.01) against common watermarking attacks and benchmark degradations. Categories and Subject Descriptors
Hafiz Malik, Ashfaq A. Khokhar, Rashid Ansari
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where DRM
Authors Hafiz Malik, Ashfaq A. Khokhar, Rashid Ansari
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