M. Saadati - Department of Computer Engineering, Artificial Intelligence, South Tehran Branch, Islamic Azad University, Tehran, Iran
J. Vahidi - Department of Applied Mathematics, Iran University of Science and Technology, Tehran, Iran
V. Seydi - Department of Computer Engineering, Artificial Intelligence, South Tehran Branch, Islamic Azad University, Tehran, Iran
P. Sheikholharam Mashhadi - Department of Computer Engineering, Artificial Intelligence, South Tehran Branch, Islamic Azad University, Tehran, Iran

Digital images watermarking is a method for data hiding that ensures the security of multimedia data. In these ways, a watermark can be a digital image or data stored within digital content. The Shearlet transform, a multi-resolution and multi-directional conversion, can be used for watermarking in digital images. Due to its superior features, this conversion can increase the efficiency of applications such as watermarking of images. In this paper, Shearlet and SVD transforms are used with the Whale optimization algorithm to obtain the most appropriate scaling factor in the watermark extraction step after applying different types of image processing attacks. Shearlet Transform has more transparency than traditional converts. The SVD transform also increases the robustness of watermarking operations. The results of different experiments show that the new method presented in this paper, in terms of robustness and imperceptibility compared to the methods tested, performs better than most image processing attacks.

Shearlet Transform, WOA Algorithm, singular value decomposition (SVD), Image Watermarking