Multiwavelet Image Watermarking Using Perceptually Tuned Model

In this paper, we propose a novel watermarking method that has robust and transparent properties by perceptually tuned characteristics and stationary Generalized Gaussian model based on Multiwavelet transform domain. The proposed method embeds watermark signals at the texture and edge regions using the perceptual stochastic model with content adaptivenes. This method adopts stationary Generalized Gaussian model because watermark signal has noise properties. By the simulation results, we confirm that the proposed method is more robust and invisible for various attacks.