DocumentCode :
3054571
Title :
Blind Detectors in Spread Spectrum Watermarking for Interference Reduction
Author :
Karabat, Cagatay ; Keskinoz, Mehmet
Author_Institution :
Electron. & Cryptology Cryptology Dept., Tubitak Uekae, Kocaeli, Turkey
fYear :
2010
fDate :
18-25 July 2010
Firstpage :
103
Lastpage :
108
Abstract :
In this paper, we propose novel blind detectors for spread spectrum watermarking systems. There exists host signal interference in blind spread spectrum watermarking systems where host signal is not available to the end-users. Our aim is to reduce the interference since it limits the capacity of watermarking systems and increases the bit error rate of the recovered watermark even if there is no distortion or attack. The novel blind detectors, which are based on the proposed normalization method, is presented in this work. The proposed normalization method reduces host signal interference by using local statistics of 8 × 8 discrete cosine transform blocks of the watermarked signal. Simulation results demonstrates that the proposed method considerably reduce the bit error rate of the recovered watermarks in case of existing correlation, covariance and maximum likelihood estimation based detectors are employed at the receiver. Consequently, the proposed detectors reduce the host signal interference and increase the capacity of the system.
Keywords :
blind source separation; error statistics; maximum likelihood estimation; watermarking; bit error rate; blind detectors; blind spread spectrum watermarking systems; discrete cosine transform blocks; host signal interference; interference reduction; local statistics; maximum likelihood estimation; spread spectrum watermarking; Bit error rate; Correlation; Detectors; Discrete cosine transforms; Interference; Watermarking; blind detector; digital watermarking; interference;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Security Information Systems and Technologies (SECURWARE), 2010 Fourth International Conference on
Conference_Location :
Venice
Print_ISBN :
978-1-4244-7517-9
Electronic_ISBN :
978-0-7695-4095-5
Type :
conf
DOI :
10.1109/SECURWARE.2010.25
Filename :
5633910
Link To Document :
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