Reversible Data Hiding in Jpeg Images for Privacy Protection

Yuxuan Huang, Xin Cao, Hao-Tian Wu*, Yiu-Ming Cheung

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

4 Citations (Scopus)

Abstract

Recently, how to protect privacy in JPEG images has become an important issue in social networks. Besides encryption, reversible visual transformation has been studied for content and privacy protection. In this paper, an improved algorithm is proposed to conceal privacy information in JPEG images. By adopting face detection, the regions to be protected can be identified so that the DC and some AC coefficients in them are modified. The changes that have been made are reversibly saved in the other AC coefficients, and the block selection information is hidden into the whole image also by reversible data hiding. As a secret key is employed to control the process of transformation, the protected content can hardly be obtained without knowing the key. We conduct the proposed algorithm on a set of test images, and compare the performance with several existing algorithms in terms of information leakage, file size increment, and image quality. The experimental results show that improved image quality and less information leakage can be achieved with the proposed reversible transformation algorithm.
Original languageEnglish
Title of host publicationICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
EditorsDimitri Androutsos, Kostas Plataniotis, Xiao-Ping (Steven) Zhang
PublisherIEEE
Pages2715-2719
Number of pages5
Edition1st
ISBN (Print)9781728176055
DOIs
Publication statusPublished - 6 Jun 2021
Event2021 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2021 - Virtual, Toronto, ON, Canada
Duration: 6 Jun 202111 Jun 2021
https://www.2021.ieeeicassp.org/2021.ieeeicassp.org/index.html
https://ieeexplore.ieee.org/xpl/conhome/9413349/proceeding

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherIEEE
ISSN (Print)1520-6149

Conference

Conference2021 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2021
Country/TerritoryCanada
CityVirtual, Toronto, ON
Period6/06/2111/06/21
Internet address

Scopus Subject Areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

User-Defined Keywords

  • Face detection
  • JPEG image
  • Privacy protection
  • Reversible data hiding
  • Shuffling

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