Reversible data hiding in JPEG images based on multiple histograms modification

Xing Lu; Fangjun Huang; Hyoung Joong Kim

doi:10.1007/978-3-030-24271-8_40

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 proceeding › Conference contribution

1 Citation (Scopus)

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 language	English
Title of host publication	Artificial Intelligence and Security - 5th International Conference, ICAIS 2019, Proceedings
Editors	Xingming Sun, Zhaoqing Pan, Elisa Bertino
Publisher	Springer Verlag
Pages	442-454
Number of pages	13
ISBN (Print)	9783030242701
DOIs	https://doi.org/10.1007/978-3-030-24271-8_40
Publication status	Published - 2019
Event	5th International Conference on Artificial Intelligence and Security, ICAIS 2019 - New York city, United States Duration: 2019 Jul 26 → 2019 Jul 28

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11634 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International Conference on Artificial Intelligence and Security, ICAIS 2019
Country/Territory	United States
City	New York city
Period	19/7/26 → 19/7/28

Bibliographical note

Funding Information:
Acknowledgments. This work is partially supported by the National Natural Science Foundation of China (61772572), the NSFC-NRF Scientific Cooperation Program (61811540409), the Natural Science Foundation of Guangdong Province of China (2017A030313366), and the Fundamental Research Funds for Central Universities (17lgjc45).

Publisher Copyright:
© Springer Nature Switzerland AG 2019.

Keywords

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

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-24271-8_40

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

Reversible data hiding in JPEG images based on multiple histograms modification. / Lu, Xing; Huang, Fangjun; Kim, Hyoung Joong.
Artificial Intelligence and Security - 5th International Conference, ICAIS 2019, Proceedings. ed. / Xingming Sun; Zhaoqing Pan; Elisa Bertino. Springer Verlag, 2019. p. 442-454 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11634 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lu, X, Huang, F & Kim, HJ 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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11634 LNCS, Springer Verlag, pp. 442-454, 5th International Conference on Artificial Intelligence and Security, ICAIS 2019, New York city, United States, 19/7/26. https://doi.org/10.1007/978-3-030-24271-8_40

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

Lu, Xing ; Huang, Fangjun ; Kim, Hyoung Joong. / Reversible data hiding in JPEG images based on multiple histograms modification. Artificial Intelligence and Security - 5th International Conference, ICAIS 2019, Proceedings. editor / Xingming Sun ; Zhaoqing Pan ; Elisa Bertino. Springer Verlag, 2019. pp. 442-454 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Reversible data hiding in JPEG images based on multiple histograms modification

Abstract

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Keywords

ASJC Scopus subject areas

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