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Journal of Real-Time Image Processing

, Volume 16, Issue 4, pp 857–869 | Cite as

A code division multiplexing and block classification-based real-time reversible data-hiding algorithm for medical images

  • Bin Ma
  • Bing li
  • Xiao-Yu Wang
  • Chun-Peng Wang
  • Jian LiEmail author
  • Yun-Qing Shi
Special Issue Paper

Abstract

This paper proposes a novel reversible data hiding (RDH) scheme for medical image based on block classification and code division multiplexing (CDM) in frequency domain. In this scheme, the original medical image is divided into non-overlapping blocks and classified into texture and smooth groups by calculating the mean square error of each block. The texture blocks are then transformed into the frequency domain with integer-to-integer discrete wavelet transform method, and the secret data are embedded into the detail sub-bands of the chosen texture blocks with CDM-based RDH algorithm. Consequently, the detail information of medical image is clarified and the data-embedding capacity is enlarged. Simultaneously, as the spreading sequences employed for data embedding are orthogonal to each other, when the secret message is repeatedly embedded into the cover image, most of the elements of spreading sequences are mutually canceled, which enables the proposed scheme to obtain high visual quality even at large data-embedding capacities. Moreover, on the receiver side, only the receiver with the correct data-embedding and block classification parameters can reconstruct the secret message and the cover image completely; thus, the security of RDH is guaranteed. Experimental results have demonstrated that the proposed scheme can yield better overall performance than other state-of-the-art RDH schemes on medical images.

Keywords

Reversible data hiding (RDH) Integer-to-integer discrete wavelet transform (IDWT) Code division multiplexing (CDM) Real-time image data hiding 

Notes

Acknowledgements

The research reported in this paper was partially supported by National Natural Science Foundation of China (Nos: 61802212, 61872203 and 61502241), Project of Shandong Province Higher Educational Science and Technology Program (J18KA331).

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Bin Ma
    • 1
  • Bing li
    • 1
  • Xiao-Yu Wang
    • 1
  • Chun-Peng Wang
    • 1
  • Jian Li
    • 1
    Email author
  • Yun-Qing Shi
    • 2
  1. 1.School of Computer Science and TechnologyQilu University of Technology (Shandong Academy of Sciences)JinanChina
  2. 2.New Jersey Institute of TechnologyNewarkUSA

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