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A blind PSO watermarking using wavelet trees quantization

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3 Author(s)
Yuh-Rau Wang ; Dept. of Comput. Sci. & Inf. Eng., St. John''s Univ., Taipei, Taiwan ; Wei-Hung Lin ; Ling Yang

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.

Published in:
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on  (Volume:4 )

Date of Conference: 10-13 July 2011

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