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Modeling and Analyzing Wavelet based Watermarking System using Game Theoretic Optimization Technique

Author(s): Shweta | Akash Tayal | Ankita Lathey

Journal: International Journal of Computer Science Issues
ISSN 1694-0784

Volume: 8;
Issue: 2;
Start page: 408;
Date: 2011;
Original page

Keywords: Game theory | Rationality | Watermarking Wavelet Transform | Strategies | IJCSI

This paper deals with establishing an economically viable and robust multilevel Game theoretic watermarking security system for the digital community; based on CPU time utilization with respect to channel capacity and system complexity. The coefficients of watermark are embedded into the host image at selected transformation level, which in turn extracted by inverse transformation at the decoder to develop the game matrix, which is iteratively searched for the optimized stable state for the system using permissible threshold. The rational thinking of maximizing the payoff of the watermarker (encoder) with respect to the attacker (noise) can be merged with the model deriving winning strategies to gain optimality. The data is rationally analyzed and tested to describe the behavior of the method for varying system parameter values and to gain performance optimization on different gray images with added Gaussian, salt and pepper, JPEG compression noises. Signal to noise ratio and correlation coefficients are used as criteria for testing the method.
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