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Separable Reversible Data Hiding for Encrypted 3D Mesh Models Based on Octree Subdivision and Multi-MSB Prediction

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成果类型:
期刊论文
作者:
Hou, Gangyang;Ou, Bo;Long, Min;Peng, Fei
通讯作者:
Ou, B;Peng, F
作者机构:
[Ou, Bo; Hou, Gangyang; Ou, B] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Peoples R China.
[Long, Min] Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Changsha 410114, Peoples R China.
[Peng, Fei] Guangzhou Univ, Inst Artificial Intelligence & Blockchain, Guangzhou, Peoples R China.
通讯机构:
[Peng, F ] G
[Ou, B ] H
Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Peoples R China.
Guangzhou Univ, Inst Artificial Intelligence & Blockchain, Guangzhou, Peoples R China.
语种:
英文
关键词:
Multi-MSB prediction;octree spatial subdivision;reversible data hiding in encrypted domain;three-dimensional model
期刊:
IEEE Transactions on Multimedia
ISSN:
1520-9210
年:
2024
卷:
26
页码:
2395-2407
基金类别:
10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 92067104 and 62072055) 10.13039/501100003453-Natural Science Foundation of Guangdong Province (Grant Number: 2023A1515011575)
机构署名:
本校为其他机构
院系归属:
计算机与通信工程学院
摘要:
Reversible data hiding in encrypted domain (RDH-ED) can perform data encryption to fulfill the privacy protection of original media and embed additional data for covert communication or access control. However, current researches are focusing on the encrypted images, and little attention is paid to encrypted three-dimensional (3D) models. In this article, a high capacity separable RDH-ED method for encrypted 3D models is proposed based on octree spatial subdivision and multiple most significant bit (multi-MSB) prediction. Firstly, a 3D model is adaptively subdivided into non-overlapping subblo...

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