DocumentCode :
2327026
Title :
Multiplicative Spread Spectrum Watermarks Detection Performance Analysis in Curvelet Domain
Author :
Deng, Chengzhi ; Wang, Shengqian ; Sun, Hui ; Cao, Hanqiang
Author_Institution :
Dept. of Comput. Sci. & Technol., Nanchang Inst. of Technol., Nanchang
fYear :
2009
fDate :
23-24 May 2009
Firstpage :
1
Lastpage :
4
Abstract :
A multiplicative spread spectrum watermarking technique in curvelet domain is presented. Watermarked curvelet coefficients are modeled using generalized Gaussian distribution, Laplacian distribution and Cauchy model. Watermarking detectors are designed employing locally most powerful (LMP) approach. The detection performances of three detectors are analyzed. Experimental results show LMP detector based Cauchy model is superior to the detectors based generalized Gaussian and Laplacian distribution.
Keywords :
Gaussian distribution; curvelet transforms; image coding; watermarking; Cauchy model; Laplacian distribution; curvelet domain; curvelet transform; generalized Gaussian distribution; image curvelet coefficient; image watermarking; multiplicative spread spectrum watermark detection; performance analysis; Correlators; Detectors; Laplace equations; Object detection; Performance analysis; Protection; Robustness; Spread spectrum communication; Sun; Watermarking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Business and Information System Security, 2009. EBISS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2909-7
Electronic_ISBN :
978-1-4244-2910-3
Type :
conf
DOI :
10.1109/EBISS.2009.5138013
Filename :
5138013
Link To Document :
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