TY - GEN
T1 - Separable Reversible Data Hiding Based on Integer Mapping and Multi-MSB Prediction for Encrypted 3D Mesh Models
AU - Yin, Zhaoxia
AU - Xu, Na
AU - Wang, Feng
AU - Cheng, Lulu
AU - Luo, Bin
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Extensive research has been conducted on image-based reversible data hiding in encrypted domain (RDH-ED) methods, but these methods cannot be directly applied to other cover medium, such as text, audio, video, and 3D mesh. With the widespread use of 3D mesh on the Internet, the use of 3D mesh as cover medium for RDH has gradually become a research topic. The main challenge of studying RDH based on 3D mesh is that the data structure of 3D mesh is complex and the geometric structure is irregular. In this paper, we propose a separable RDH-ED method based on integer mapping and multiple most significant bit (Multi-MSB) prediction. Firstly, all vertices of 3D mesh are divided into “embedded” set and “reference” set, and floating-point vertex values are mapped to integers. Then, sender calculates prediction error of the “embedded” set. Data hider embeds additional data by replacing the Multi-MSB of the encrypted vertex coordinates of the “embedded” set without prediction error. According to different permissions, legal recipients can obtain the original mesh, the additional data or both of them by using the proposed separable method. Experimental results prove that the proposed method outperforms state-of-the-art methods.
AB - Extensive research has been conducted on image-based reversible data hiding in encrypted domain (RDH-ED) methods, but these methods cannot be directly applied to other cover medium, such as text, audio, video, and 3D mesh. With the widespread use of 3D mesh on the Internet, the use of 3D mesh as cover medium for RDH has gradually become a research topic. The main challenge of studying RDH based on 3D mesh is that the data structure of 3D mesh is complex and the geometric structure is irregular. In this paper, we propose a separable RDH-ED method based on integer mapping and multiple most significant bit (Multi-MSB) prediction. Firstly, all vertices of 3D mesh are divided into “embedded” set and “reference” set, and floating-point vertex values are mapped to integers. Then, sender calculates prediction error of the “embedded” set. Data hider embeds additional data by replacing the Multi-MSB of the encrypted vertex coordinates of the “embedded” set without prediction error. According to different permissions, legal recipients can obtain the original mesh, the additional data or both of them by using the proposed separable method. Experimental results prove that the proposed method outperforms state-of-the-art methods.
KW - 3D mesh
KW - Encrypted domain
KW - Multi-MSB prediction
KW - Reversible data hiding
UR - https://www.scopus.com/pages/publications/85118220100
U2 - 10.1007/978-3-030-88007-1_28
DO - 10.1007/978-3-030-88007-1_28
M3 - 会议稿件
AN - SCOPUS:85118220100
SN - 9783030880064
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 336
EP - 348
BT - Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Proceedings
A2 - Ma, Huimin
A2 - Wang, Liang
A2 - Zhang, Changshui
A2 - Wu, Fei
A2 - Tan, Tieniu
A2 - Wang, Yaonan
A2 - Lai, Jianhuang
A2 - Zhao, Yao
PB - Springer Science and Business Media Deutschland GmbH
T2 - 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021
Y2 - 29 October 2021 through 1 November 2021
ER -