Minimum mean square error detector for multimessage spread spectrum embedding

Authors:
Amir Valizadeh;Z. Jane Wang
Affiliations:
Department of Electrical and Computer Engineering, University of British Columbia, Canada;Department of Electrical and Computer Engineering, University of British Columbia, Canada
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

In this paper, a new minimum mean square error (MMSE) based detector is presented for multi-message detection in both conventional spread spectrum (SS) watermarking and improved spread spectrum (ISS) watermarking. The proposed detector yields an improved detection performance in terms of bit error rate (BER) for both SS and ISS multiple message embedding. Simulation results demonstrate that the proposed MMSE detector outperforms the conventional detector, the matched filter detector, by orders of magnitude.