Complete separable reversible data hiding in encrypted image

  • Yin Zhaoxia
  • , Wang Huabin
  • , Zhao Haifeng
  • , Luo Bin*
  • , Zhang Xinpeng
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

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.

Original languageEnglish
Title of host publicationCloud Computing and Security - 1st International Conference, ICCCS 2015, Revised Selected Papers
EditorsXingming Sun, Junzhou Luo, Zhiqiu Huang, Jian Wang
PublisherSpringer Verlag
Pages101-110
Number of pages10
ISBN (Print)9783319270500
DOIs
StatePublished - 2015
Externally publishedYes
Event1st International Conference on Cloud Computing and Security, ICCCS 2015 - Nanjing, China
Duration: 13 Aug 201515 Aug 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9483
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Cloud Computing and Security, ICCCS 2015
Country/TerritoryChina
CityNanjing
Period13/08/1515/08/15

Keywords

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

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