Paper Info
Title
Reversible data hiding for 3D mesh models with three-dimensional prediction-error histogram modification.
Abstract
This study proposes a reversible data hiding (RDH) algorithm for 3D mesh models based on the optimal three-dimensional prediction-error histogram (PEH) modification with recursive construction coding (RCC). Firstly, we design a double-layered prediction scheme to divide all the vertices of 3D mesh model into the “embedded” set and the “referenced” set, according to the odd-even property of indices into the vertex list. Thanks to the geometrical similarity among neighboring vertices, we obtain the prediction errors (PEs) with a sharp histogram. Then we combine every three adjacent PEs into one prediction-error triplet (PET) and construct the three-dimensional PEH with smaller entropy than one-dimensional PEH by utilizing the correlation among PEs. Next we project the three-dimensional PEH into one-dimensional space for scalar PET sequence which is suitable for using RCC. And also, we define the distortion metrics for 3D mesh models, by which we can estimate the optimal probability transition matrix (OTPM) indicating the optimal PEH modification manner. After that, we modify the PET sequence and embed data by RCC according to OTPM. The experimental results show that our method is superior to two state-of-the-art spatial-domain RDH algorithms for 3D mesh models a lot.
Year
DOI
Venue
2018
https://doi.org/10.1007/s11042-017-4430-6
Multimedia Tools Appl.
Keywords
Field
DocType
3D mesh models,Reversible data hiding,Histogram modification,Recursive construction coding,Prediction error
Histogram,Polygon mesh,Vertex (geometry),Stochastic matrix,Pattern recognition,Computer science,Information hiding,Coding (social sciences),Artificial intelligence,Distortion,Recursion
Journal
Volume
Issue
ISSN
77
5
1380-7501
Citations 
PageRank 
References 
1
0.35
17
Authors
5
Name
Order
Citations
PageRank
Ruiqi Jiang181.47
Weiming Zhang2110488.72
Dongdong Hou3565.92
hui wang4332.06
Nenghai Yu52238183.33