Title :
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
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;
Conference_Titel :
Wavelet Analysis and Pattern Recognition (ICWAPR), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4577-0283-9
DOI :
10.1109/ICWAPR.2011.6014493
