TY - GEN
T1 - An optimal wavelet-based image watermarking via genetic algorithm
AU - Zhong, Ning
AU - He, Zunwen
AU - Kuang, Jingming
AU - Zhuo, Zhihai
PY - 2007
Y1 - 2007
N2 - In watermarking system designing, there are always encounter two conflicting objectives: robustness and invisibility. It is difficult to satisfy them at same time. Traditional watermarking algorithm often solve this problem by choosing parameters via experience, it always be inefficient. We resolve the problem by using genetic algorithm (GA) to obtain the optimized solution. With a proper fitness function in the watermarking system, GA search for the optimal parameters to improve the performance of watermarking algorithm. The simulation results show that both watermark robustness and invisibility can be achieved under different attack schemes.
AB - In watermarking system designing, there are always encounter two conflicting objectives: robustness and invisibility. It is difficult to satisfy them at same time. Traditional watermarking algorithm often solve this problem by choosing parameters via experience, it always be inefficient. We resolve the problem by using genetic algorithm (GA) to obtain the optimized solution. With a proper fitness function in the watermarking system, GA search for the optimal parameters to improve the performance of watermarking algorithm. The simulation results show that both watermark robustness and invisibility can be achieved under different attack schemes.
UR - http://www.scopus.com/inward/record.url?scp=38049033452&partnerID=8YFLogxK
U2 - 10.1109/ICNC.2007.233
DO - 10.1109/ICNC.2007.233
M3 - Conference contribution
AN - SCOPUS:38049033452
SN - 0769528759
SN - 9780769528755
T3 - Proceedings - Third International Conference on Natural Computation, ICNC 2007
SP - 103
EP - 107
BT - Proceedings - Third International Conference on Natural Computation, ICNC 2007
T2 - 3rd International Conference on Natural Computation, ICNC 2007
Y2 - 24 August 2007 through 27 August 2007
ER -