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Implementation of Block-Based Hierarchical Prediction for Developing an Error-Propagation-Free Reversible Data Hiding Scheme

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Department of Computer Science and Information Management, Providence University, Taichung 43301, Taiwan
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Department of Electrical Engineering, Ming Chi University of Technology, New Taipei 24301, Taiwan
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Department of Computer Science and Information Engineering, Providence University, Taichung 43301, Taiwan
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Department of Electronic Engineering, Chung Yuan University, Taoyuan 32023, Taiwan
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Author to whom correspondence should be addressed.
Symmetry 2019, 11(9), 1146; https://doi.org/10.3390/sym11091146
Received: 21 August 2019 / Revised: 3 September 2019 / Accepted: 5 September 2019 / Published: 9 September 2019
This paper proposes a reversible data hiding technique based on the residual histogram shifting technique. To improve the hiding capacity, this study proposes a multiple-round hierarchical prediction mechanism that generates the prediction errors of each image block. The prediction errors of each block are collected to produce the residual histogram and the secret data are then embedded into the residual histogram to obtain the embedded image. Experimental results demonstrate that the proposed technique not only provides good hiding capacity, but also maintains good image quality of the embedded image. In addition, this technique can be easily extended for image integrity protection as it is capable of resisting error propagation. View Full-Text
Keywords: reversible data hiding; histogram shifting; residual histogram shifting; block-based prediction reversible data hiding; histogram shifting; residual histogram shifting; block-based prediction
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MDPI and ACS Style

Hu, Y.-C.; Lin, Y.-H.; Lo, C.-C.; Wu, C.-M. Implementation of Block-Based Hierarchical Prediction for Developing an Error-Propagation-Free Reversible Data Hiding Scheme. Symmetry 2019, 11, 1146.

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