Intelligence digital image watermark algorithm based on artificial neural networks classifier

Abstract

An intelligence robust digital image watermarking algorithm using artificial neural network (ANN) is proposed. In new algorithm, for embedding watermark, the original image first is divided into some N1 9 N2 small blocks, different embedding strengths are determined by RBFNN classifier according to different textural features of every block after DCT. The experimental results show that the proposed algorithm are robust against common image processing attacks, such as JPEG compression, Gaussian noise, cropping, mean filtering, wiener filtering, and histogram equalization etc. The proposed algorithm achieves a good compromise between the robustness and invisibility, too.