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2006 IEEE International Conference on Multimedia and Expo
Image Watermarking based on Genetic Algorithm
Toronto, ON, Canada
July 09-July 12
ISBN: 1-4244-0366-7
ASCII Text
x 
 
Zhicheng Wei, Hao Li, Jufeng Dai, Sashuang Wang, "Image Watermarking based on Genetic Algorithm," 2012 IEEE International Conference on Multimedia and Expo, pp. 1117-1120, 2006 IEEE International Conference on Multimedia and Expo, 2006.
 
 
BibTex
x
 
@article{ 10.1109/ICME.2006.262731,
author = {Zhicheng Wei and Hao Li and Jufeng Dai and Sashuang Wang},
title = {Image Watermarking based on Genetic Algorithm},
journal ={2012 IEEE International Conference on Multimedia and Expo},
volume = {0},
year = {2006},
isbn = {1-4244-0366-7},
pages = {1117-1120},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2006.262731},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - 2012 IEEE International Conference on Multimedia and Expo
TI - Image Watermarking based on Genetic Algorithm
SN - 1-4244-0366-7
SP1117
EP1120
A1 - Zhicheng Wei,
A1 - Hao Li,
A1 - Jufeng Dai,
A1 - Sashuang Wang,
PY - 2006
KW - null
VL - 0
JA - 2012 IEEE International Conference on Multimedia and Expo
ER -
 
Zhicheng Wei, School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China; Department of Network Engineering, Hebei Normal University, Shijiazhuang 050016, China
Hao Li, School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China
Jufeng Dai, School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China
Sashuang Wang, School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China
In order to improve the robustness and imperceptibleness of the image spread spectrum watermark algorithm, a new approach for optimization in 8?8 DCT domain using genetic algorithm (GA) was proposed. GA was used to choose the AC coefficients, which were modified to embed the spread spectrum watermark. The bands were varied to find the most suitable for image with different characteristics. Performance improvement with respect to existing algorithm is obtained by GA adaptive global search. The experimental results show that the proposed algorithm yields a watermark that is invisible to human eyes and robust to various image manipulation, and show that some special positions are the best choices for embedding the watermark. The authors also compare their experimental results with the results of the previous work of others.
Citation:
Zhicheng Wei, Hao Li, Jufeng Dai, Sashuang Wang, "Image Watermarking based on Genetic Algorithm," icme, pp.1117-1120, 2006 IEEE International Conference on Multimedia and Expo, 2006
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