An adaptive reversible data hiding scheme based on prediction error histogram shifting by exploiting signed-digit representation

Abstract

A prediction error histogram shifting (PEHS)-based reversible data hiding scheme is proposed in this paper. A novel representation for the secret stream, called signed-digit representation, is proposed to improve the image quality. The secret binary stream is first converted into a signed-digit stream, which results in a high occurrence of ‘0’. Meanwhile, a block-wise-based prediction is performed on the original image to generate prediction errors, which lead to a sharp prediction error histogram. Then, the converted signed-digit stream is embedded into the prediction errors according to the improved histogram shifting (HS)-based scheme with multiple selected peak points, resulting in an adaptive embedding capacity. The experimental results validate that the proposed scheme outperforms state-of-the-art schemes in terms of embedding capacity while maintaining a good image quality.

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Acknowledgments

This work is supported by Education and Scientific Research Project of Fujian Province under Grant JT180436, Natural Science Foundation of Fujian Province under Grant 2018 J01572 and Open Fund of Engineering Research Center for Software Testing and Evaluation of Fujian Province.

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Correspondence to Chin-Chen Chang.

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Xie, X., Chang, C. & Hu, Y. An adaptive reversible data hiding scheme based on prediction error histogram shifting by exploiting signed-digit representation. Multimed Tools Appl (2020). https://doi.org/10.1007/s11042-019-08402-6

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Keywords

  • Reversible data hiding
  • Histogram shifting
  • Different expansion
  • Prediction error