Title
3D PEE mapping based reversible data hiding for color images
Abstract
The performance of prediction-error expansion (PEE) for reversible data hiding (RDH) is excellent. 2D and 3D PEE has a great improvement than the conventional PEE. However, the PEE-based method used in each channel of a color image cannot make full use of the correlation among three channels. In the paper, a reversible data hiding algorithm based on 3D PEE mapping is proposed. Firstly, a prediction-error triple is generated from three channels of a color image. Next, the prediction error triples can shift freely in 3D space. Finally, specific error triples have been shifted to embed secret data and other triples are expanded to make room for data embedding. By using the proposed reversible 3D PEE mapping, the inter-correlation of RGB channels is better exploited. Extensive experimental results demonstrate that the proposed algorithm outperforms the traditional RDH methods for color images.
Year
DOI
Venue
2019
10.1007/s11042-018-6486-3
Multimedia Tools and Applications
Keywords
Field
DocType
Reversible data hiding, 3D PEE mapping, Prediction-error expansion
Computer vision,Mean squared prediction error,Embedding,Pattern recognition,Prediction error expansion,Computer science,Information hiding,Communication channel,Artificial intelligence,RGB color model,Color image
Journal
Volume
Issue
ISSN
78.0
7
1573-7721
Citations 
PageRank 
References 
0
0.34
21
Authors
2
Name
Order
Citations
PageRank
Meng Xu121118.89
Jian Li216244.60