General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • E-mail: ijcte@iacsitp.com
    • Journal Metrics:

Editor-in-chief
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2015 Vol.7(5): 332-336 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2015.V7.981

Novel Prediction Error Based Reversible Data Hiding Method Using Histogram Shifting

Ting Luo, Gangyi Jiang, Mei Yu, and Wei Gao

Abstract—Reversible data hiding can recover the original image from the marked image without any distortion. This paper presents a novel prediction error based reversible data hiding method using histogram shifting in spatial domain. Three predictors including Mean, JPEG lossless and median edge detector (MED) are employed to compute prediction values for current pixels, respectively. Prediction errors are calculated as well to build histogram bins. Histogram shifting mechanism is designed that bins with large prediction errors are shifted based on hiding level, and thus, it will not hurt marked image if hiding level is not high. Histogram bins with small error predictions are used to hide secret data. Experimental results demonstrate that average of prediction error is less than that of interpolation error used in existing data hiding methods, and the proposed method is good at high capacity hiding. MED is the best predictor among three predictors in the proposed method, and it outperforms existing data hiding methods in terms of capacity and marked image quality.

Index Terms—Reversible data hiding, histogram shifting, median edge detector, prediction error.

Ting Luo and Gao Wei are with the Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211 China (e-mail: luoting@ nbu.edu.cn, gaowei@nbu.edu.cn).
Gangyi Jiang and Mei Yu are with the Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211 China; they are also with the National Key Lab of Software New Technology, Nanjing University, Nanjing 210093, China (e-mail: jianggangyi@126.com, yumei2@126.com).

[PDF]

Cite:Ting Luo, Gangyi Jiang, Mei Yu, and Wei Gao, "Novel Prediction Error Based Reversible Data Hiding Method Using Histogram Shifting," International Journal of Computer Theory and Engineering vol. 7, no. 5, pp. 332-336, 2015.


Copyright © 2008-2024. International Association of Computer Science and Information Technology. All rights reserved.