A Robust Blind 3-D Mesh Watermarking technique based on SCS quantization and mesh Saliency for Copyright Protection

TL;DR

This paper introduces a blind 3-D mesh watermarking technique that combines mesh saliency and SCS quantization to enhance copyright protection by achieving high imperceptibility and robustness against various attacks.

Contribution

It proposes a novel watermarking method using mesh saliency and SCS quantization for improved robustness and imperceptibility in 3-D mesh copyright protection.

Findings

High imperceptibility compared to existing methods

Robust against similarity transformations, noise, and smoothing

Effective in preserving watermark integrity under attacks

Abstract

Due to the recent demand of 3-D meshes in a wide range of applications such as video games, medical imaging, film special effect making, computer-aided design (CAD), among others, the necessity of implementing 3-D mesh watermarking schemes aiming to protect copyright has increased in the last decade. Nowadays, the majority of robust 3-D watermarking approaches have mainly focused on the robustness against attacks while the imperceptibility of these techniques is still a serious challenge. In this context, a blind robust 3-D mesh watermarking method based on mesh saliency and scalar Costa scheme (SCS) for Copyright protection is proposed. The watermark is embedded by quantifying the vertex norms of the 3-D mesh by SCS scheme using the vertex normal norms as synchronizing primitives. The choice of these vertices is based on 3-D mesh saliency to achieve watermark robustness while ensuring high imperceptibility. The experimental results show that in comparison with the alternative methods, the proposed work can achieve a high imperceptibility performance while ensuring a good robustness against several common attacks including similarity transformations, noise addition, quantization, smoothing, elements reordering, etc.