PSO and GA parameters estimation for digital watermarking algorithm

The digital watermarking schemes provide multimedia exchanged between parties with copyright protection and authentication especially to digital media. In this paper a secured watermarking algorithm for strengthening of digital media using Particle Swan Optimization and Genetic Algorithm search optimization meta-heuristic techniques is proposed. Image quality is computed using Mean Squared Error, Normalized Cross Correlation and Peak Signal-to-Noise Ratio to calculate the distortion or noise in the image with respect to parameters like luminance, contrast and correlation loss. The coefficient is selected using Particle Swan Optimization and Genetic Algorithm to embed Discrete Wavelet Transformed high level coefficients on the host image. Different attacks are modelled to access the imperceptibility and robustness. The experimental results are reported to demonstrate the effective solution of the proposed schemes.