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General Framework to Histogram-Shifting-Based Reversible Data Hiding

delete2013-06-01
delete354
PRE
AI
X
Xiaolong Li *
B
Bin Li
B
Bin Yang
T
Tieyong Zeng
DOI:10.1109/TIP.2013.2246179delete
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摘要

摘要

En 中文
Histogram shifting (HS) is a useful technique of reversible data hiding (RDH). With HS-based RDH, high capacity and low distortion can be achieved efficiently. In this paper, we revisit the HS technique and present a general framework to construct HS-based RDH. By the proposed framework, one can get a RDH algorithm by simply designing the so-called shifting and embedding functions. Moreover, by taking specific shifting and embedding functions, we show that several RDH algorithms reported in the literature are special cases of this general construction. In addition, two novel and efficient RDH algorithms are also introduced to further demonstrate the universality and applicability of our framework. It is expected that more efficient RDH algorithms can be devised according to the proposed framework by carefully designing the shifting and embedding functions.
Keyword:
Embedding performance
histogram shifting (HS)
reversible data hiding (RDH)
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期刊

IEEE Transactions on Image Processing 封面图
IEEE Transactions on Image Processing
IF:
13.7
论文数:
1.0W
被引数:
8.4W

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Hong Kong Baptist University
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6.3K
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shenzhen university
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peking university
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11.9W
论文数: 8.7W
被引数: 146
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