Reversible data hiding in JPEG images based on multiple histograms modification

Xing Lu, Fangjun Huang, Hyoung Joong Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The joint photographic experts group (JPEG) is the most popular image on the internet nowadays. Therefore, reversible data hiding (RDH), which can be used to ensure the widely used JPEG images' originality and integrity, has attracted more and more attention. However, when performing RDH in JPEG images, besides the embedding capacity and visual quality, which have to be considered for uncompressed images, the storage size of the marked JPEG file should also be considered. In this paper, a new JPEG RDH scheme based on multiple histograms modification is proposed. Firstly, according to zero run length (ZRL) of the discrete cosine transform (DCT) coefficients, multiple DCT coefficient histograms are generated. Then, the message bits are embedded via the histogram shifting algorithm. In order to improve the efficiency of the proposed method, a new adaptive embedding strategy based on the ZRL and the number of zero coefficients in each 8 × 8 block is also proposed. Experimental results show that our method can effectively reduce the increase of image storage size caused by information embedding.

Original languageEnglish
Title of host publicationArtificial Intelligence and Security - 5th International Conference, ICAIS 2019, Proceedings
EditorsXingming Sun, Zhaoqing Pan, Elisa Bertino
PublisherSpringer Verlag
Pages442-454
Number of pages13
ISBN (Print)9783030242701
DOIs
Publication statusPublished - 2019 Jan 1
Event5th International Conference on Artificial Intelligence and Security, ICAIS 2019 - New York city, United States
Duration: 2019 Jul 262019 Jul 28

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11634 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Artificial Intelligence and Security, ICAIS 2019
CountryUnited States
CityNew York city
Period19/7/2619/7/28

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Keywords

  • Image storage size
  • JPEG
  • Multiple histograms
  • Reversible data hiding (RDH)

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Lu, X., Huang, F., & Kim, H. J. (2019). Reversible data hiding in JPEG images based on multiple histograms modification. In X. Sun, Z. Pan, & E. Bertino (Eds.), Artificial Intelligence and Security - 5th International Conference, ICAIS 2019, Proceedings (pp. 442-454). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11634 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-24271-8_40