Watermarking in Contourlet Transform Domain Using Genetic Algorithm

Contourlet transform is a new two-dimensional extension of the wavelet transform using multiscale and directional filter banks. In this work, we focus on optimizing the image watermarking using the genetic algorithm applied to the contourlet transform which improves the quality of the watermarked image and the robustness of watermark. We employ, genetic algorithm based embedding schemes namely surrounding mean and zerotree embedding approach. The detection process can be performed without using the original image. The experimental results demonstrate that the watermark is robust to attacks.