Digital image watermarking has justified its suitability for copyright protection and copy
control of digital images. In the past years, various watermarking schemes were proposed to
enhance the fidelity and the robustness of watermarked images against different types of
attacks such as additive noise, filtering, and geometric attacks. It is highly important to
guarantee a sufficient level of robustness of watermarked images against such type of
attacks. Recently, Deep learning and neural networks achieved noticeable development …