DCT watermarking optimization by genetic programming

Embedding a digital watermark in an electronic document is proving to be a feasible solution for multimedia copyright protection and authentication purposes. However, the balance between the watermark robustness and its invisibility has always been a challenge for watermarkers. Consequently, it was necessary to use a powerful computation system that can guarantee the watermarking requirements. In this end, we propose to apply genetic programming to digital watermarking. In this work, we are presenting a new-watermarking scheme in DCT domain based on genetic programming (GP). It is an optimizing structure which permits to develop automatically the embedding equation of a DCT algorithm possessing a high PSNR value and a good robustness. Simulation results were satisfactory.