Title :
A blind PSO watermarking using wavelet trees quantization
Author :
Wang, Yuh-Rau ; Lin, Wei-Hung ; Yang, Ling
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., St. John´´s Univ., Taipei, Taiwan
Abstract :
A blind watermarking method with particle swam optimization (PSO) on discrete wavelet transform (DWT) is proposed. The watermark is embedded in a digital image by quantization of adjacent wavelet coefficients on wavelet trees and can be extracted blindly. We employ PSO to achieve the robustness and imperceptibility. The experimental results show that using PSO is an improvement over those without using PSO.
Keywords :
discrete wavelet transforms; image watermarking; particle swarm optimisation; trees (mathematics); DWT; adjacent wavelet coefficients quantization; blind PSO watermarking; digital image; discrete wavelet transform; wavelet trees quantization; Discrete wavelet transforms; PSNR; Quantization; Robustness; Vegetation; Watermarking; Wavelet coefficients; Blind watermarking; fitness function; particle swam optimization (PSO); significant coefficient; wavelet tree;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4577-0305-8
DOI :
10.1109/ICMLC.2011.6016987
