Abstract
Reversible data hiding hides data in an image such that the original image is recoverable. This paper presents a novel embedding framework with reduced distortion called skewed histogram shifting using a pair of extreme predictions. Unlike traditional prediction error histogram shifting schemes, where only one good prediction is used to generate a prediction error histogram, the proposed scheme uses a pair of extreme predictions to generate two skewed histograms. By exploiting the structure of the skewed histogram, only the pixels from the peak and the short tail are used for embedding, which decreases the distortion from the lesser number of pixels being shifted. Detailed experiments and analysis are provided using several image databases.
| Original language | English |
|---|---|
| Journal | IEEE Transactions on Circuits and Systems for Video Technology |
| DOIs | |
| Publication status | Accepted/In press - 2018 Jan 1 |
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Keywords
- Reversible data hiding
- reversible watermarking
- skewed histogram shifting
ASJC Scopus subject areas
- Media Technology
- Electrical and Electronic Engineering
Cite this
Skewed Histogram Shifting for Reversible Data Hiding using a Pair of Extreme Predictions. / Kim, Suah; Qu, Xiaochao; Sachnev, Vasily; Kim, Hyong Joong.
In: IEEE Transactions on Circuits and Systems for Video Technology, 01.01.2018.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Skewed Histogram Shifting for Reversible Data Hiding using a Pair of Extreme Predictions
AU - Kim, Suah
AU - Qu, Xiaochao
AU - Sachnev, Vasily
AU - Kim, Hyong Joong
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Reversible data hiding hides data in an image such that the original image is recoverable. This paper presents a novel embedding framework with reduced distortion called skewed histogram shifting using a pair of extreme predictions. Unlike traditional prediction error histogram shifting schemes, where only one good prediction is used to generate a prediction error histogram, the proposed scheme uses a pair of extreme predictions to generate two skewed histograms. By exploiting the structure of the skewed histogram, only the pixels from the peak and the short tail are used for embedding, which decreases the distortion from the lesser number of pixels being shifted. Detailed experiments and analysis are provided using several image databases.
AB - Reversible data hiding hides data in an image such that the original image is recoverable. This paper presents a novel embedding framework with reduced distortion called skewed histogram shifting using a pair of extreme predictions. Unlike traditional prediction error histogram shifting schemes, where only one good prediction is used to generate a prediction error histogram, the proposed scheme uses a pair of extreme predictions to generate two skewed histograms. By exploiting the structure of the skewed histogram, only the pixels from the peak and the short tail are used for embedding, which decreases the distortion from the lesser number of pixels being shifted. Detailed experiments and analysis are provided using several image databases.
KW - Reversible data hiding
KW - reversible watermarking
KW - skewed histogram shifting
UR - http://www.scopus.com/inward/record.url?scp=85055865813&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85055865813&partnerID=8YFLogxK
U2 - 10.1109/TCSVT.2018.2878932
DO - 10.1109/TCSVT.2018.2878932
M3 - Article
AN - SCOPUS:85055865813
JO - IEEE Transactions on Circuits and Systems for Video Technology
JF - IEEE Transactions on Circuits and Systems for Video Technology
SN - 1051-8215
ER -