Reversible data hiding in encrypted 3D mesh models via ripple prediction

Abstract

Reversible data hiding in the encrypted domain has attracted increasing attention for securing secret data while protecting the sensitive content of the host media. We propose a reversible data hiding method for encrypted 3D mesh models using ripple prediction, which leverages the inherent continuity of the 3D structure to achieve accurate vertex prediction. The method begins by selecting a specific vertex as a reference. This reference vertex is then used to predict a ring of directly connected vertices, which in turn predict an outer ring of their connected vertices, and so on. This ripple-like prediction process continues until all vertices have been processed. This approach enables precise vertex coordinate prediction using only a single reference vertex. As a result, the 3D mesh data can be significantly compressed, creating spare capacity for secret data embedding. Experimental results demonstrate that our method outperforms state-of-the-art schemes in terms of embedding rate.