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

Authors:
Hafiz Malik;Ashfaq Khokhar;Rashid Ansari
Affiliations:
University of Illinois at Chicago, IL;University of Illinois at Chicago, IL;University of Illinois at Chicago, IL
Venue:
Proceedings of the 5th ACM workshop on Digital rights management
Year:
2005

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Abstract

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.