An Approach of an Image Watermarking Scheme using Neural Network

Abstract

of an image watermarking scheme using neural network is presented in this work. In the proposed approach, watermark comes from the weights of an identify image that are loaded from a learned feed-forward neural network, the neural network is learned by using the back-propagation learning algorithm. To improve the robustness of watermarked image; the procedure of watermark embedding is embedded into host image through selecting and modifying the Gaussian coefficients comes from a noisy image. The noised image is damaged by the salt and pepper noise. In order to identify the cover of extracted watermark, feed- forward neural network is used in the watermarking identification to overcome the limitation of unknown data comes randomly. The results of the scheme realization show the robustness of proposed scheme that has preferable performance for both identification and watermarking of a noised image