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Reversible data hiding in encrypted image with separable data extraction from image decryption

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Abstract

We propose a method of reversible data hiding in encrypted image. Proposed method achieves reserving room before encryption, and separates data extraction from image decryption. Our method is an improvement of Ma’s method [IEEE Trans Inf Forensic Secur 8(3):554–558, 2013]. Our improvements mainly focus on two aspects. (1) We improved the interpolation error estimate method via using Bicubic interpolation instead of pixel estimation that calculates the weighted sum of four surrounding pixels. Thus more sharp interpolation error histogram is obtained to increase the hidden information capacity. (2) We use partitioned local histogram shift instead of traditional histogram shift to reduce the amount of shifted pixels. This directly results in a higher quality of stego image in the same embedding capacity. The experimental results indicate that the improved method offers better performance. It is superior to Ma’s work in both embedding rate and the PSNR values of stego images.

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Authors and Affiliations

  1. School of Science and Shaanxi Key Laboratory for Network Computing and Security Technology, Xi’an University of Technology, Xi’an, Shaanxi, 710048, China

    Xiaofeng Wang & Shangping Wang

  2. School of Science, Xi’an University of Technology, Xi’an, Shaanxi, 710048, China

    Xiao Han & Jianghuan Xi

Authors
  1. Xiaofeng Wang
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  2. Xiao Han
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  3. Jianghuan Xi
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  4. Shangping Wang
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Corresponding author

Correspondence to Xiaofeng Wang.

Additional information

This work was supported by the National High Technology Development 973 Program of China under Grant No. 2012CB316400; the National Natural Science Foundation of China under Grant No.61075007; The Natural Science Foundation of Shaanxi Province of China under Grant No.2015JM6262.

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Wang, X., Han, X., Xi, J. et al. Reversible data hiding in encrypted image with separable data extraction from image decryption. Multimed Tools Appl 76, 6127–6142 (2017). https://doi.org/10.1007/s11042-016-3288-3

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  • DOI: https://doi.org/10.1007/s11042-016-3288-3

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