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

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Part of the Lecture Notes in Computer Science book series (LNCS,volume 13825)

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.

Keywords

  • Vertices division
  • 3D mesh model
  • Reversible data hiding
  • Encrypted models

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Acknowledgements

This research work is partly supported by National Natural Science Foundation of China (62172001, 61872003).

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Correspondence to Zhaoxia Yin .

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Tang, Y., Cheng, L., Lyu, W., Yin, Z. (2023). High Capacity Reversible Data Hiding for Encrypted 3D Mesh Models Based on Topology. In: Zhao, X., Tang, Z., Comesaña-Alfaro, P., Piva, A. (eds) Digital Forensics and Watermarking. IWDW 2022. Lecture Notes in Computer Science, vol 13825. Springer, Cham. https://doi.org/10.1007/978-3-031-25115-3_14

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  • DOI: https://doi.org/10.1007/978-3-031-25115-3_14

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