High Capacity Reversible Data Hiding for Encrypted 3D Mesh Models Based on Topology

TL;DR

This paper introduces a novel reversible data hiding method for encrypted 3D mesh models that leverages topology to significantly increase embedding capacity while ensuring lossless recovery of original models.

Contribution

The proposed method uniquely utilizes 3D mesh topology to enhance embedding capacity in reversible data hiding for encrypted models, outperforming existing techniques.

Findings

Achieves the highest embedding capacity among compared methods.

Ensures lossless recovery of original 3D models.

Effectively embeds additional data using topology-based vertex division.

Abstract

Reversible data hiding in encrypted domain(RDH-ED) can not only protect the privacy of 3D mesh models and embed additional data, but also recover original models and extract additional data losslessly. However, due to the insufficient use of model topology, the existing methods have not achieved satisfactory results in terms of embedding capacity. To further improve the capacity, a RDH-ED method is proposed based on the topology of the 3D mesh models, which divides the vertices into two parts: embedding set and prediction set. And after integer mapping, the embedding ability of the embedding set is calculated by the prediction set. It is then passed to the data hider for embedding additional data. Finally, the additional data and the original models can be extracted and recovered respectively by the receiver with the correct keys. Experiments declare that compared with the existing methods, this method can obtain the highest embedding capacity.