Title :
An intelligent PSO watermarking
Author :
Wang, Yuh-Rau ; Lin, Wei-Hung ; Yang, Ling
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., St. John´´s Univ., Tamsui, Taiwan
Abstract :
Meerwald et. al. [2] revealed that the method proposed in [1] exists potential insecurity. This paper proposes an intelligent watermarking by invoking particle swarm optimization (PSO) technique in wavelet domain to overcome the revealed insecurity issue, furthermore resolve the conflict between imperceptibility and robustness of watermarking. Performance analysis shows that the proposed algorithm obviously outperforms the method proposed in [1] which does not use PSO.
Keywords :
particle swarm optimisation; watermarking; wavelet transforms; intelligent watermarking; particle swarm optimization technique; wavelet domain; Machine learning; Quantization; Robustness; Watermarking; Wavelet coefficients; Wavelet domain; Blind watermarking; Copyright protection; PSO; Significant coefficient; Wavelet tree;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580860