TY - GEN
T1 - High Capacity Reversible Data Hiding for Encrypted 3D Mesh Models Based on Topology
AU - Tang, Yun
AU - Cheng, Lulu
AU - Lyu, Wanli
AU - Yin, Zhaoxia
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - 3D mesh model
KW - Encrypted models
KW - Reversible data hiding
KW - Vertices division
UR - https://www.scopus.com/pages/publications/85147996361
U2 - 10.1007/978-3-031-25115-3_14
DO - 10.1007/978-3-031-25115-3_14
M3 - 会议稿件
AN - SCOPUS:85147996361
SN - 9783031251146
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 205
EP - 218
BT - Digital Forensics and Watermarking - 21st International Workshop, IWDW 2022, Revised Selected Papers
A2 - Zhao, Xianfeng
A2 - Tang, Zhenjun
A2 - Comesaña-Alfaro, Pedro
A2 - Piva, Alessandro
PB - Springer Science and Business Media Deutschland GmbH
T2 - 21st International Workshop on Digital-Forensics and Watermarking, IWDW 2022
Y2 - 18 November 2022 through 19 November 2022
ER -