Title :
Minimum mean square error detector for multimessage spread spectrum embedding
Author :
Valizadeh, Amir ; Wang, Z. Jane
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
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.
Keywords :
error statistics; matched filters; mean square error methods; spread spectrum communication; watermarking; bit error rate; improved spread spectrum watermarking; matched filter detector; minimum mean square error detector; multimessage detection; multimessage spread spectrum embedding; Bit error rate; Detectors; Discrete cosine transforms; Matched filters; Mean square error methods; Signal processing; Spread spectrum communication; Watermarking; Wavelet domain; Wavelet transforms; Watermarking; mean square error; multi-message; spread spectrum;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5414115
