A novel optimal decoding algorithm of multibit multiplicative watermarks

Author

Cui, Li-Hong ; Zhao, Li-Na ; Li, Wen-Guo

Author_Institution

Fac. of Math. & Comput. Sci., Beijing Univ. of Chem. Technol., Beijing, China

fYear

2011

fDate

10-13 July 2011

Firstpage

73

Lastpage

76

Abstract

This paper presents a novel optimal watermark decoding algorithm of multibit multiplicative watermarks using Bessel k form of density function (BKF). In the proposed algorithm, the wavelet coefficients of detail subband are assumed to obey BKF, the classical spread spectrum watermarking is used for watermark embedding, the optimal multi-bit watermark decoding comes down to a maximum likelihood (ML) detection. Experimental results show that the proposed algorithm obtains the optimal watermark decoding.

Keywords

Bessel functions; decoding; image watermarking; maximum likelihood detection; wavelet transforms; BKF; Bessel k form; ML detection; density function; maximum likelihood detection; multibit multiplicative watermarks; optimal decoding algorithm; optimal multibit watermark decoding; optimal watermark decoding algorithm; spread spectrum watermarking; watermark embedding; wavelet coefficients; Bit error rate; Discrete wavelet transforms; Maximum likelihood decoding; PSNR; Robustness; Watermarking; Wavelet analysis; Bessel K form densities; maximum likelihood detection; multibit multiplicative watermarks; optimal watermark decoding;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Analysis and Pattern Recognition (ICWAPR), 2011 International Conference on

Conference_Location

Guilin

ISSN

2158-5695

Print_ISBN

978-1-4577-0283-9

Type

conf

DOI

10.1109/ICWAPR.2011.6014493

Filename

6014493