Skewed Histogram Shifting for Reversible Data Hiding Using a Pair of Extreme Predictions

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, whe...

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Published in	IEEE transactions on circuits and systems for video technology Vol. 29; no. 11; pp. 3236 - 3246
Main Authors	Kim, Suah, Qu, Xiaochao, Sachnev, Vasily, Kim, Hyoung Joong
Format	Journal Article
Language	English
Published	New York IEEE 01.11.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects	Data encapsulation Distortion Embedding Histograms Pixels Prediction theory Reversible data hiding reversible watermarking skewed histogram shifting Watermarking
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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.
AbstractList	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.
Author	Kim, Hyoung Joong Kim, Suah Sachnev, Vasily Qu, Xiaochao
Author_xml	– sequence: 1 givenname: Suah orcidid: 0000-0003-1692-2790 surname: Kim fullname: Kim, Suah email: suahnkim@gmail.com organization: Graduate School of Information Security, Korea University, Seoul, South Korea – sequence: 2 givenname: Xiaochao surname: Qu fullname: Qu, Xiaochao email: qxc@meitu.com organization: MTlab, Meitu, Inc., Beijing, China – sequence: 3 givenname: Vasily orcidid: 0000-0001-7063-5069 surname: Sachnev fullname: Sachnev, Vasily email: bassvasys@hotmail.com organization: Department of Information, Communications and Electronic Engineering, Catholic University of Korea, Bucheon, South Korea – sequence: 4 givenname: Hyoung Joong orcidid: 0000-0002-1144-6660 surname: Kim fullname: Kim, Hyoung Joong email: khj-@korea.ac.kr organization: Graduate School of Information Security, Korea University, Seoul, South Korea
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Snippet	Reversible data hiding hides data in an image such that the original image is recoverable. This paper presents a novel embedding framework with reduced...
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SubjectTerms	Data encapsulation Distortion Embedding Histograms Pixels Prediction theory Reversible data hiding reversible watermarking skewed histogram shifting Watermarking
Title	Skewed Histogram Shifting for Reversible Data Hiding Using a Pair of Extreme Predictions
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