A Novel Blind Watermarking Algorithm in Contourlet Domain

Author

Li, Haifeng ; Song, Weiwei ; Wang, Shuxun

Author_Institution

Coll. of Commun. & Eng., Jilin Univ., Changchun

Volume

3

fYear

0

fDate

0-0 0

Firstpage

639

Lastpage

642

Abstract

A novel watermarking algorithm based on contourlet transform is proposed in this paper. The watermark composed of pseudo-random sequence is embedded in the selected contourlet transform coefficients by means of multiplicative method. The contourlet coefficients are modeled with generalized Gaussian distribution with zero mean, and then watermark detection method is proposed based on maximum likelihood detection. Furthermore the decision rule is optimized via Neyman-Pearson criterion. Experimental results show that the fidelity of the watermarked image is good and robust to signal processing and small geometrical attacks

Keywords

Gaussian processes; image coding; maximum likelihood detection; random sequences; statistical distributions; watermarking; Neyman-Pearson criterion; blind watermarking; contourlet transform; generalized Gaussian distribution; geometrical attack; maximum likelihood detection; multiplicative method; pseudorandom sequence; signal processing; watermark detection; Discrete transforms; Filter bank; Gaussian distribution; Image resolution; Image segmentation; Laplace equations; Maximum likelihood detection; Signal processing algorithms; Signal resolution; Watermarking;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2006. ICPR 2006. 18th International Conference on

Conference_Location

Hong Kong

ISSN

1051-4651

Print_ISBN

0-7695-2521-0

Type

conf

DOI

10.1109/ICPR.2006.134

Filename

1699607