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Reversible Data Hiding Based on Multiple Two-Dimensional Histograms Modification

delete2019-06-01
delete54
PRE
AI
J
Jianqiang Qin
F
Fangjun Huang *
DOI:10.1109/LSP.2019.2909080delete
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摘要

摘要

En 中文
In pairwise prediction-error expansion (pairwise PEE) based reversible data hiding (RDH), the correlations among prediction errors are considered and utilized. The obtained performance is better than traditional PEE-based RDH. However, their performance can further be improved. In this letter, a new RDH algorithm based on multiple two-dimensional (2-D) histograms modification is proposed. In our new algorithm, by considering the predetermined pixel pair and its neighbors, a new prediction strategy which can be utilized to predict each element in the pixel pair is proposed. And then, according to the local complexities of the predetermined pixel pairs, multiple 2-D prediction-error sub-histograms are constructed. Moreover, eight new 2-D-maps are designed, and for each kind of 2-D prediction-error sub-histogram, the corresponding optimal 2-D mapping is exhaustively searched to further improve the performance of the proposed algorithm. Extensive experiments demonstrate the superiority of our scheme.
Keyword:
Reversible data hiding
prediction method
multiple two-dimensional prediction-error sub-histograms
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期刊

IEEE Signal Processing Magazine 封面图
IEEE Signal Processing Magazine
IF:
9.6
论文数:
1.1W
被引数:
1.7W

机构

S
Sun Yat Sen University
学者数:
9.9W
论文数: 7.2W
被引数: 95
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