An Optimized Dual Watermarking Scheme for Color Images

Multiple watermarking techniques for images is receiving more attention in recent years for its wide variety of applications in different fields such as piracy of digital data, and copyrights protection. Current approaches rely on adding many watermarks in different bands or channels by means of scaling factor, and embedding locations that are mainly defined by experts. This brought many challenges in achieving equilibrium between security, robustness, and quality. Aiming to fill the gap of the stationary scaling factor and embedding locations, the work proposed in this paper adapts genetic algorithm to find the optimality of these issues that will enhance both of watermarking capacity and imperceptibility in color images. To increase security, the suggested system encodes the watermarks using 2-D Walsh transform. Furthermore, Singular value decomposition as a dimension reduction tool is utilized to factorize Wavelet coefficients to determine the most salient embedding locations. Trials results demonstrate that the proposed technique is more robust against common image manipulation attacks in terms of peak signal to noise ratio and normal correlation coefficient.

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