Dual Watermarking of Color Images based on SWT and SVD using Invasive Weed Optimization

This paper proposes a robust and high embedding capacity watermarking technique where two watermarks are embedded in a color image. A gray-scale image is embedded as one of the watermarks to identify the ownership of the host image using Stationary Wavelet Transform (SWT) and Singular Value Decomposition (SVD). A binary watermark with the help of the least significant bit method is embedded to locate the tampers. The embedding process is optimized to have better robustness against various attacks by employing Invasive Weed Optimization (IWO). A novel fitness function is proposed to optimize color image watermarking. This technique is applied to standard images and medical images. The performance of the proposed method is compared based on imperceptibility, robustness and embedding capacity.