Genetic Watermarking with Block-Based DCT Clustering

In this paper, we propose a new approach for digital image watermarking in DCT domain. This approach used a fuzzy C-mean algorithm (FCM) to classify 8times8 DCT blocks as texture or non texture region. The genetic algorithms (GAs) are then performed to find out the optimal parameters for watermark embedding, independently for each region type. The experimental results show that the proposed approach yields a watermark that is invisible to human eyes and robust to various image manipulations. The algorithm was also compared with the previous work, and our algorithm is superior for all test images.