Multimedia Tools and Applications

, Volume 78, Issue 8, pp 9717–9735 | Cite as

High capacity reversible data hiding using 2D parabolic interpolation

  • Ahmad Shaik
  • Thanikaiselvan VEmail author


Reversible data hiding (RDH) plays a key role in ensuring security of communications. Recent studies have revealed that RDH techniques based on interpolation are gaining popularity because of the ease of implementation and support for high embedding capacity. From recent literature, it is noted that the one-dimensional (1D) parabolic interpolation-based data hiding technique is suitable for high embedding capacity applications. This study aims to implement a high capacity RDH technique using a new two-dimensional (2D) parabolic interpolation and a novel embedding technique that is suitable for interpolation-based techniques. The results of this study showed that the proposed 2D parabolic interpolation maximized the utilization of the cover image pixels in up-sampling. The technique produced interpolated images of a higher quality compared to the 1D parabolic interpolation technique. Moreover, the proposed data hiding technique exploited the local redundancy and obtained the high embedding capacity with an appreciable image quality better than other state-of-the-art techniques. The results of this study support the view that the proposed parabolic interpolation has the potential to address security issues in high embedding capacity applications.


Parabolic interpolation Reversible data hiding Image interpolation Interpolation-based RDH 



  1. 1.
    Govind PVS, Wilscy M (2015) A new reversible data hiding scheme with improved capacity based on directional interpolation and difference expansion. Procedia Comput Sci 46:491–498. CrossRefGoogle Scholar
  2. 2.
    Hong W, Chen TS (2011) Reversible data embedding for high quality images using interpolation and reference pixel distribution mechanism. J Vis Commun Image Represent 22:131–140. CrossRefGoogle Scholar
  3. 3.
    Hu J, Li T (2015) Reversible steganography using extended image interpolation technique. Comput Electr Eng 46:447–455. CrossRefGoogle Scholar
  4. 4.
    Jung K-H (2017) A survey of interpolation-based reversible data hiding methods. Multimed Tools Appl.
  5. 5.
    Jung K-H, Yoo K-Y (2009) Data hiding method using image interpolation. Comput Stand Interfaces 31:465–470. CrossRefGoogle Scholar
  6. 6.
    Lee C-F, Huang Y-L (2012) An efficient image interpolation increasing payload in reversible data hiding. Expert Syst Appl.
  7. 7.
    Lu T-C, Chang C-C, Huang Y-H (2014) High capacity reversible hiding scheme based on interpolation, difference expansion, and histogram shifting. Multimed Tools Appl 72:417–435. CrossRefGoogle Scholar
  8. 8.
    Luo L, Chen Z, Chen M et al (2010) Reversible image watermarking using interpolation technique. IEEE Trans Inf Forensics Secur 5:187–193. CrossRefGoogle Scholar
  9. 9.
    Ni ZNZ, Shi Y-QSY-Q, Ansari N, Su WSW (2006) Reversible data hiding. IEEE Trans Circuits Syst Video Technol 16:354–362. CrossRefGoogle Scholar
  10. 10.
    Schaefer G (2003) UCID: an uncompressed color image database. Proc SPIE 472–480. doi:
  11. 11.
    Shi Y, Li X, Zhang X et al (2016) Reversible data hiding: advances in the past two decades. IEEE Access 4:3210–3237. CrossRefGoogle Scholar
  12. 12.
    Tai W-L, Yeh C-M, Chang C-C (2009) Reversible data hiding based on histogram modification of pixel differences. IEEE Trans Circuits Syst Video Technol 19:906–910. CrossRefGoogle Scholar
  13. 13.
    Tian J (2003) Reversible data embedding using a difference expansion. IEEE Trans Circuits Syst 13:890–896. CrossRefGoogle Scholar
  14. 14.
    Zhang X, Sun Z, Tang Z, et al (2016) High capacity data hiding based on interpolated image. Multimed Tools Appl 9195–9218. doi:

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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Communication Engineering, School of Electronics Engineering (SENSE)VIT UniversityVelloreIndia

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