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Separable Reversible Data Hiding Based on Integer Mapping and MSB Prediction for Encrypted 3D Mesh Models

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Abstract

Reversible data hiding in encrypted domain (RDH-ED) technology can embed data into cover media without exposing the original content to third parties. In addition, the recipient can recover the cover media losslessly after extracting the embedded data. Image-based RDH-ED has been widely studied, but RDH-ED based on 3D meshes has obtained few research results due to the complex data structure and irregular geometric structure of 3D meshes. With the widespread application of 3D meshes, the research on 3D meshes has attracted extensive research from researchers in recent years. In this paper, we propose a reversible data hiding for encrypted 3D meshes based on integer mapping and most significant bit (MSB) prediction. The content owner divides all vertices into “embedded” sets and “reference” sets and then maps floating-point coordinates to integers. After calculating the MSB prediction error of the “embedded” sets, the encryption technology is performed. Then, additional data can be embedded through the MSB replacement strategy. According to different permissions, legal recipients can obtain the original meshes, the additional data or both of them by using the proposed separable method. Higher embedding capacity is achieved by adopting MSB embedding strategy, and perfect recovery of the original meshes is achieved by using ring prediction scheme. The experimental results show that the proposed method has greater embedding capacity compared with the state-of-the-art method.

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Funding

This research work is partly supported by National Natural Science Foundation of China (61872003, 61860206004).

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Authors and Affiliations

  1. Anhui Province Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Hefei, 230601, China

    Na Xu, Jin Tang, Bin Luo & Zhaoxia Yin

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  1. Na Xu

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  2. Jin Tang

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  3. Bin Luo

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  4. Zhaoxia Yin

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Corresponding author

Correspondence toZhaoxia Yin.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Informed consent was not required as no human or animals were involved.

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The authors declare that they have no conflict of interest.

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Xu, N., Tang, J., Luo, B.et al. Separable Reversible Data Hiding Based on Integer Mapping and MSB Prediction for Encrypted 3D Mesh Models.Cogn Comput14, 1172–1181 (2022). https://doi.org/10.1007/s12559-021-09919-5

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