Title :
A fast Watermarking Algorithm based on quantum evolutionary algorithm
Author :
Wang, Zhiwen ; Li, Shaozi ; Cai, Qixian ; Su, Songzhi ; Liu, MeiZhen
Author_Institution :
Dept. of Comput. & Eng., GXU, China
Abstract :
There are limitations in smaller embedded information capacity, lower accurate rate for positioning embedded location and detection, slower running speed in traditional watermarking algorithm which combines spatial domain and transform domain based on characteristics of human visual system. A fast watermarking algorithm based on quantum evolutionary algorithm is proposed and implemented. We carry through simulation experiments by using the new algorithm brought forward in this article. Results of experiments show that the new algorithm owns not only faster watermark image generation, but also have good sensitivity and robustness for all kinds of attacks. The new algorithm is more flexible in application, can be embedded more information, can quicken computing speed; can easily operate and so on.
Keywords :
evolutionary computation; watermarking; wavelet transforms; embedded detection; embedded location; fast watermarking algorithm; human visual system; quantum evolutionary algorithm; wavelet transform; Cognitive science; Embedded computing; Evolutionary computation; Image coding; Pixel; Quantum computing; Robustness; Watermarking; Wavelet domain; Wavelet transforms; Quantum Evolutionary Algorithm; Watermark Detection; quantification; robustness; wavelet transform;
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
DOI :
10.1109/ICICISYS.2009.5357928