Improved Reversible Data Hiding in JPEG Images Based on Interval Correlation

  • Zhigao Hong
  • , Zhaoxia Yin*
  • , Bin Luo
  • *Corresponding author for this work

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

3 Scopus citations

Abstract

The redundancy of JPEG images is lower than that of non-compressed images, so any modification will greatly reduce the visual effect and produce file expansion. In this paper, a new RDH algorithm for JPEG images based on interval correlation is proposed. Through the quantization of DCT, the secret message is embedded into a continuous interval with large correlation and low distortion by using histogram shifting (HS). Experimental result shows that the proposed algorithm has better peak signal noise ratio (PSNR) and file expansion than the state-of-the-art HS algorithms for JPEG.

Original languageEnglish
Title of host publicationAdvances in Brain Inspired Cognitive Systems - 9th International Conference, BICS 2018, Proceedings
EditorsAmir Hussain, Bin Luo, Jiangbin Zheng, Xinbo Zhao, Cheng-Lin Liu, Jinchang Ren, Huimin Zhao
PublisherSpringer Verlag
Pages687-696
Number of pages10
ISBN (Print)9783030005627
DOIs
StatePublished - 2018
Externally publishedYes
Event9th International Conference on Brain-Inspired Cognitive Systems, BICS 2018 - Xi'an, China
Duration: 7 Jul 20188 Jul 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10989 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Brain-Inspired Cognitive Systems, BICS 2018
Country/TerritoryChina
CityXi'an
Period7/07/188/07/18

Keywords

  • Histogram shifting
  • Interval correlation
  • JPEG
  • Reversible information hiding

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