Genetic Watermarking Based on Texture Analysis in DCT Domain

In this paper, we propose a new approach for digital image watermarking in DCT domain. A texture analysis is applied on each 8x8 DCT blocks in order to classify the block 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.