Computer Science > Multimedia
arXiv:2211.02801 (cs)
[Submitted on 5 Nov 2022]
Title:High Capacity Reversible Data Hiding for Encrypted 3D Mesh Models Based on Topology
View a PDF of the paper titled High Capacity Reversible Data Hiding for Encrypted 3D Mesh Models Based on Topology, by Yun Tang and 3 other authors
View PDFAbstract: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.
| Subjects: | Multimedia (cs.MM) |
| Cite as: | arXiv:2211.02801 [cs.MM] |
| (orarXiv:2211.02801v1 [cs.MM] for this version) | |
| https://doi.org/10.48550/arXiv.2211.02801 arXiv-issued DOI via DataCite | |
| Journal reference: | IWDW 2022 |
| Related DOI: | https://doi.org/10.1007/978-3-031-25115-3_14 DOI(s) linking to related resources |
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View a PDF of the paper titled High Capacity Reversible Data Hiding for Encrypted 3D Mesh Models Based on Topology, by Yun Tang and 3 other authors
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