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Complete Separable Reversible Data Hiding in Encrypted Image

  • Yin Zhaoxia
  • Wang Huabin
  • Zhao Haifeng
  • Luo Bin
  • Zhang Xinpeng
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9483)

Abstract

Reversible data hiding in encrypted image (RDHEI) is an emerging technology since it has good potential for practical applications such as encrypted image authentication, content owner identification and privacy protection. But there is one key problem of many existing published works, that the embedded data only can be extracted either before or after image decryption. In this paper, a complete separable reversible data hiding scheme in encrypted images is proposed. Additional data can be embedded into a cipher image which is encrypted by RC4 and can be extracted error-free both from the cipher domain and the plaintext domain. Moreover, the proposed method is simpler to calculate, while offering better performance. The results demonstrate that larger payload, better image quality, and error-free data extraction as well as image recovery are achieved.

Keywords

Reversible data hiding in encrypted images (RDHEI) Privacy protection Histogram modification 

Notes

Acknowledgements

This research work is supported by National Natural Science Foundation of China under Grant Nos. 61502009 and 61472235, Anhui Provincial Natural Science Foundation under Grant No. 1508085SQF216, the 48th Scientific Research Staring Foundation for the Returned Overseas Chinese Scholars, Ministry of Education of China under Grant No. 1685 and the Foundation of Center of Information Support and Assurance Technology for Anhui University under Grant No. ADXXBZ201411. The authors appreciate Dr. Andrew Abel from the University of Stirling for proofreading.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Yin Zhaoxia
    • 1
    • 2
  • Wang Huabin
    • 1
  • Zhao Haifeng
    • 1
  • Luo Bin
    • 1
  • Zhang Xinpeng
    • 2
  1. 1.Key Laboratory of Intelligent Computing and Signal Processing, Ministry of EducationAnhui UniversityHefeiPeople’s Republic of China
  2. 2.School of Communication and Information EngineeringShanghai UniversityShanghaiPeople’s Republic of China

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