Image watermarking resistant to geometric attacks using generalized Radon transformations

This paper presents a novel watermarking scheme able to resist geometric attacks. The proposed method performs watermarking of images in the raw domain. A perceptual model is used in order to define the strength of the embedded watermark. For resistance to scaling and rotation attacks, two generalized Radon transformations of the image are introduced, while resistance to translation is accomplished through a localization of the watermarking method based on feature points of the image. Experimental evaluation demonstrates that the proposed scheme is able to withstand a variety of attacks including common geometric attacks.