Multiple Histograms-Based Reversible Data Hiding: Framework and Realization

Reversible data hiding (RDH) has unique advantage in copyright and integrity protection for multimedia contents. As a typical RDH scheme, histogram shifting technique (HS) has found wide applications due to its high quality of marked image. At present, most existing HS-based RDH schemes rely on sing...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology Jg. 30; H. 8; S. 2313 - 2328
Hauptverfasser:	Wang, Junxiang, Chen, Xin, Ni, Jiangqun, Mao, Ningxiong, Shi, Yunqing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Correlation Distortion evolutionary algorithm Evolutionary algorithms Evolutionary computation histogram shifting Histograms Image quality Interpolation Multimedia multiple features multiple histograms modification Optimization Payloads rate allocation Resource management Reversible data hiding
ISSN:	1051-8215, 1558-2205
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Abstract	Reversible data hiding (RDH) has unique advantage in copyright and integrity protection for multimedia contents. As a typical RDH scheme, histogram shifting technique (HS) has found wide applications due to its high quality of marked image. At present, most existing HS-based RDH schemes rely on single histogram generated from cover image to hide data. Since the single histogram-based approach (SH_RDH) commonly employs smooth regions in the cover image for data hiding, it might not well utilize the cover image and exploit the correlations among image contents of different texture characteristics. In this paper, a novel RDH general framework using multiple histograms modification (MH_RDH) is proposed, which involves two key issues as follows: 1) the construction of multiple histograms based on optimized multi-features and 2) the rate allocation among multiple histograms is formulated as the one of rate-distortion optimization and solved with evolutionary algorithms. The experimental results show that the proposed method could considerably increase the payload of current MH_RDH-based embedding (ranging from 0.2 to 0.7 bpp for most test images) and outperform the other state-of-the-art SH_RDH and MH_RDH schemes.
AbstractList	Reversible data hiding (RDH) has unique advantage in copyright and integrity protection for multimedia contents. As a typical RDH scheme, histogram shifting technique (HS) has found wide applications due to its high quality of marked image. At present, most existing HS-based RDH schemes rely on single histogram generated from cover image to hide data. Since the single histogram-based approach (SH_RDH) commonly employs smooth regions in the cover image for data hiding, it might not well utilize the cover image and exploit the correlations among image contents of different texture characteristics. In this paper, a novel RDH general framework using multiple histograms modification (MH_RDH) is proposed, which involves two key issues as follows: 1) the construction of multiple histograms based on optimized multi-features and 2) the rate allocation among multiple histograms is formulated as the one of rate-distortion optimization and solved with evolutionary algorithms. The experimental results show that the proposed method could considerably increase the payload of current MH_RDH-based embedding (ranging from 0.2 to 0.7 bpp for most test images) and outperform the other state-of-the-art SH_RDH and MH_RDH schemes.
Author	Wang, Junxiang Chen, Xin Ni, Jiangqun Mao, Ningxiong Shi, Yunqing
Author_xml	– sequence: 1 givenname: Junxiang orcidid: 0000-0003-4371-6212 surname: Wang fullname: Wang, Junxiang email: wjx851113851113@163.com organization: School of Mechanical and Electronic Engineering, Jingdezhen Ceramic Institute, Jiangxi, China – sequence: 2 givenname: Xin surname: Chen fullname: Chen, Xin email: ceramicchenxin@163.com organization: School of Mechanical and Electronic Engineering, Jingdezhen Ceramic Institute, Jiangxi, China – sequence: 3 givenname: Jiangqun orcidid: 0000-0002-7520-9031 surname: Ni fullname: Ni, Jiangqun email: issjqni@mail.sysu.edu.cn organization: School of Data and Computer Science, Sun Yat-sen University, Guangdong, China – sequence: 4 givenname: Ningxiong surname: Mao fullname: Mao, Ningxiong email: jdzmnxzy@163.com organization: School of Mechanical and Electronic Engineering, Jingdezhen Ceramic Institute, Jiangxi, China – sequence: 5 givenname: Yunqing surname: Shi fullname: Shi, Yunqing email: shi@njit.edu organization: Department of Electronics and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA
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SubjectTerms	Correlation Distortion evolutionary algorithm Evolutionary algorithms Evolutionary computation histogram shifting Histograms Image quality Interpolation Multimedia multiple features multiple histograms modification Optimization Payloads rate allocation Resource management Reversible data hiding
Title	Multiple Histograms-Based Reversible Data Hiding: Framework and Realization
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