An Adaptive Detection Algorithm for Blind Watermark Based on Generalized Gaussian Distribution

Abstract:

The technique of blind watermarking is one of key technology for copyright protecting. By applying generalized Gaussian distribution to statistically model the Alternating current coefficient of discrete cosine transform, an adaptive blind watermark detection algorithm is presented on the basis of sign detector and linear correlate detector and its probability efficiency is deduced. The experimental results show that the performance of the new detector is better than that of linear correlate detector.

• Periodical: Applied Mechanics and Materials (Volumes 263-266)
• Pages: 2058-2063
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.263-266.2058
• Online since: December 2012
• Authors: Zhi Ming Li, Tai Yue Wang
• Keywords: Asymptotic Relative Efficiency, Blind Image Watermarking, Generalized Gaussian Distribution

References

[1] A Sequeira, D Kundur.Communication and information theory in watermark: A survey. In: Proc of SPIE Multimedia Systems and Application IV. Denver,Colorado, 2001.216 ~227.

[2] H V Poor. An introduction to Signal and Estimation. New York: Springer-Verlag, 1994.

[3] I J Cox. J Kilian, Secure spread spectrum watermarking for multimedia. IEEE Tans on Image Processing,1997, 12(6):1673~1697.

DOI: 10.1109/83.650120

[4] J R Hernandez, M Amado, Fernando Perez. DCT-domain watermark technique for still images: Detector performance analysis and a new structure.IEEE Trans on Image Processing, 2000, 9(1):55~68.

DOI: 10.1109/83.817598

[5] M Barni, F Bartolini, De Rose, M Piva. A new decoder for the optimum recovery of nonadditive watermarks. IEEE Trans on Image Processing, 2001, 10(5):755~765.

DOI: 10.1109/83.918568

[6] M Barni, F Bartolini, V Cappellini et al. A DCT domain system for robust image watermarking Signal Processing. IEEE Trans on Image Processing 1998,66(3): 357~ 372.

DOI: 10.1016/s0165-1684(98)00015-2

[7] X C Bo, L C Shen, W S Chang. Sign correlation detector for blind image watermarking in the DCT domain. In:Proc of 2nd IEEE Pacific-Rim Conf on Multimedia. Berlin, Germany: Springer-Verlag, 2001,780~787.

DOI: 10.1007/3-540-45453-5_100

[8] S Kamran, L Alberto. Estimation of shape parameter for generalized Gaussian distribution in subband decompositions of video IEEE Trans on circuits and systems for video technology, 1995, 5(1):52~56.

DOI: 10.1109/76.350779

[9] R J Joshi, T R Fischer. Comparison of generalized Gaussian and Laplacian modeling in DCT image coding.IEEE Trans on signal processing letters, 1995,2(5):81~82 .

DOI: 10.1109/97.386283

[10] T Y Wang, H W Li., Z M Li., Z H Wang. A fast parameter estimation of generalized Gaussian distribution. In ICSP'06, 2006，vol.4,No.1,p.101～104.