A statistical 3D watermarking method based on logistic chaotic scrambling system

Digital watermarking is recognized as an efficient solution in the field of information security. In 3D mesh watermarking, vertex positions are often subtly adjusted to maintain a predefined relationship with their neighboring vertices. In this paper, we propose a robust blind 3D mesh watermarking method based on mesh saliency and a scrambling technique. Before embedding, the watermark image is scrambled using the logistic chaos scrambling method. The proposed algorithm segments the mesh surface into distinct regions based on detected salient points, after which the watermark is statistically embedded within each region. Experimental results demonstrate that the proposed method effectively resists various attacks such as additive binary noise, Laplacian smoothing, simplification, and cropping while maintaining high imperceptibility.