Skip to main content
SpringerLink
Log in

High capacity data hiding based on interpolated image

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

We investigate the use of parabolic interpolation in data hiding and propose a novel data hiding algorithm with high capacity based on interpolated image. Specifically, the proposed algorithm creates an interpolated image from input image by parabolic interpolation, and embeds secret bits into interpolated pixels in terms of the relation between the interpolated value and the mean value. Ten standard benchmark images are taken as test images for validating efficiency of our algorithm. The results illustrate that our algorithm has better performances than some popular data hiding methods in embedding capacity and visual quality with respect to PSNR and SSIM.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  1. Alattar AM (2004) Reversible watermark using the difference expansion of a generalized integer transform. IEEE Trans Image Process 13(8):1147–1156

    Article  MathSciNet  Google Scholar 

  2. Celik MU, Sharma G, Tekalp AM, Saber E (2005) Lossless generalized-LSB data embedding. IEEE Trans Image Process 14(2):253–266

    Article  Google Scholar 

  3. Chang CC, Tai WL, Chen KN (2008) Lossless data hiding based on histogram modification for image authentication. IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (EUC’08), 1: 506–511

  4. Fallahpour M, Sedaaghi MH (2007) High capacity lossless data hiding based on histogram modification. IEICE Electron Expr 4(7):205–210

    Article  Google Scholar 

  5. Fridrich J, Goljan M, Du R (2002) Lossless data embedding—new paradigm in digital watermarking. EURASIP J Adv Signal Process 2002(2):185–196

    Article  MATH  Google Scholar 

  6. Fridrich J, Goljan M, Du R (2002) Lossless data embedding for all image formats. Electronic Imaging 2002. International Society for Optics and Photonics, pp 572–583

  7. Hong W, Chen TS (2011) Reversible data embedding for high quality images using interpolation and reference pixel distribution mechanism. J Vis Commun Image Represent 22(2):131–140

    Article  Google Scholar 

  8. Hu J, Li TR (2015) Reversible steganography using extended image interpolation technique. Comput Electr Eng 46:447–455

    Article  Google Scholar 

  9. Image Databases. [Online] Available: http://www.imageprocessingplace.com/root_files_V3/image_databases.htm

  10. Jung KH, Yoo KY (2009) Data hiding method using image interpolation. Computer Stand Interfaces 31(2):465–470

    Article  Google Scholar 

  11. Jung KH, Yoo KY (2015) Steganographic method based on interpolation and LSB substitution of digital images. Multimedia Tools Appl 74(6):2143–2155

    Article  Google Scholar 

  12. Lee CF, Huang YL (2012) An efficient image interpolation increasing payload in reversible data hiding. Expert Syst Appl 39(8):6712–6719

    Article  Google Scholar 

  13. Lee CC, Wu HC, Tsai CS, Chu YP (2008) Adaptive lossless steganographic scheme with centralized difference expansion. Pattern Recogn 41(6):2097–2106

    Article  MATH  Google Scholar 

  14. Liu YC, Wu HC, Yu SS (2011) Adaptive DE-based reversible steganographic technique using bilinear interpolation and simplified location map. Multimedia Tools Appl 52(2-3):263–276

    Article  Google Scholar 

  15. Luo L, Chen Z, Chen M et al (2010) Reversible image watermarking using interpolation technique. IEEE Trans Inf Forensics Secur 5(1):187–193

    Article  Google Scholar 

  16. Ni Z, Shi YQ, Ansari N, Su W (2006) Reversible data hiding. IEEE Trans Circuits Syst Video Technol 16(3):354–362

    Article  Google Scholar 

  17. Sachnev V, Kim HJ, Nam J, Suresh S, Shi YQ (2009) Reversible watermarking algorithm using sorting and prediction. IEEE Trans Circuits Syst Video Technol 19(7):989–999

    Article  Google Scholar 

  18. Tai WL, Yeh CM, Chang CC (2009) Reversible data hiding based on histogram modification of pixel differences. IEEE Trans Circuits Syst Video Technol 19(6):906–910

    Article  Google Scholar 

  19. The SSIM Index for Image Quality Assessment. [Online] Available: http://www.cns.nyu.edu/~lcv/ssim/

  20. Tian J (2003) Reversible data embedding using a difference expansion. IEEE Trans Circuits Syst Video Technol 13(8):890–896

    Article  Google Scholar 

  21. Tseng HW, Chang CC (2008) An extended difference expansion algorithm for reversible watermarking. Image Vis Comput 26(8):1148–1153

    Article  Google Scholar 

  22. USC-SIPI Image Database. [Online] Available: http://sipi.usc.edu/database/

  23. Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13(4):600–612

    Article  Google Scholar 

  24. Wang XT, Chang CC, Nguyen TS, Li MC (2013) Reversible data hiding for high quality images exploiting interpolation and direction order mechanism. Digital Signal Process 23(2):569–577

    Article  MathSciNet  Google Scholar 

  25. Wang WJ, Zhang YH, Huang CT, Wang SJ (2013) Steganography of data embedding in multimedia images using interpolation and histogram shiftin., 2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp 387–390

  26. Zhang X, Liang T, Tang Z, Dai X (2012) Restoration of embedded image from corrupted stego image. Signal Process 92(7):1691–1698

    Article  Google Scholar 

Download references

Acknowledgments

This work was partially supported by the National Natural Science Foundation of China (61562007, 61363034, 61300109), the Guangxi Natural Science Foundation (2015GXNSFDA139040), the Guangxi “Bagui Scholar” Teams for Innovation and Research, the Project of the Guangxi Key Lab of Multi-source Information Mining & Security (13-A-03-01, 14-A-02-02, 15-A-02-02), the Project of the Guangxi Experiment Center of Information Science (20130204), the Guangxi Key Laboratory of Trusted Software (kx201327), the Scientific and Technological Research Projects of Guangxi Education Administration (YB2014048), the Guangxi Higher School Key Lab of Cloud Computing and Complex System (15202), and the Guangxi Collaborative Innovation Center of Multi-source Information Integration and Intelligent Processing. The authors would like to express sincere thanks for the anonymous reviewers’ insightful comments and valuable suggestions.

Author information

Authors and Affiliations

  1. Guangxi Key Lab of Multi-source Information Mining & Security, Guangxi Normal University, Guilin, 541004, China

    Xianquan Zhang, Zerui Sun, Zhenjun Tang & Chunqiang Yu

  2. Department of Computer Science, Guangxi Normal University, No. 15 Yucai Road, Guilin, 541004, People’s Republic of China

    Xianquan Zhang, Zerui Sun & Zhenjun Tang

  3. Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, 541004, China

    Xianquan Zhang & Chunqiang Yu

  4. Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, 541004, China

    Xianquan Zhang & Zerui Sun

  5. College of Mathematics & Computer Science, Yangtze Normal University, Fuling, Chongqing, 408100, China

    Xiaoyun Wang

Authors
  1. Xianquan Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zerui Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zhenjun Tang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Chunqiang Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Xiaoyun Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xianquan Zhang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, X., Sun, Z., Tang, Z. et al. High capacity data hiding based on interpolated image. Multimed Tools Appl 76, 9195–9218 (2017). https://doi.org/10.1007/s11042-016-3521-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-016-3521-0

Keywords

Search

Navigation