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