CFP last date
20 May 2024
Reseach Article

Reversible Data Hiding Technique using AMBTC based Bitmap Manipulation

by P. Uma, S. Vimala
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 12
Year of Publication: 2020
Authors: P. Uma, S. Vimala
10.5120/ijca2020920086

P. Uma, S. Vimala . Reversible Data Hiding Technique using AMBTC based Bitmap Manipulation. International Journal of Computer Applications. 176, 12 ( Apr 2020), 48-55. DOI=10.5120/ijca2020920086

@article{ 10.5120/ijca2020920086,
author = { P. Uma, S. Vimala },
title = { Reversible Data Hiding Technique using AMBTC based Bitmap Manipulation },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2020 },
volume = { 176 },
number = { 12 },
month = { Apr },
year = { 2020 },
issn = { 0975-8887 },
pages = { 48-55 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number12/31257-2020920086/ },
doi = { 10.5120/ijca2020920086 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:41:12.160649+05:30
%A P. Uma
%A S. Vimala
%T Reversible Data Hiding Technique using AMBTC based Bitmap Manipulation
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 12
%P 48-55
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this research work, it has been proposed to use images to hide the secret data as it is difficult to extract secret data from the image. Using images to hide and transmit secret data, leads to additional overhead of increased cost associated with storage and transmission cost, as the image requires more space for storage. However, hiding data inevitably destroys the host image, even though the distortion is imperceptible. To overcome such drawbacks, image compression techniques are used for both, hiding the secret data and to reduce the storage and transmission cost. To enhance the hiding capacity and maintain the quality of the host image after embedding hidden data, we present a high payload reversible data hiding scheme that is based on the Absolute Moment Block Truncation Coding (AMBTC) compression domain. We exploit the feature of inter block redundancy in an AMBTC compressed image to improve the coding efficiency of compressed images. Normally, the AMBTC technique transforms an input image into a set of blocks and each block in turn is transformed into a set of a bit-plane and two quantizers. But in the proposed method, these blocks are categorized into Shade and Edge blocks based on the magnitude of amplitude values. For a Shade block, two values are stored, one being the block mean and the other value being the secret data. Two bytes of secret data is stored creating an illusion that the bitplane is stored. For Edge blocks, high mean and low mean are stored as two quantizers and a respective Bitplane is generated. The shade block helps in embedding 3 bytes of secret data leading to higher embedding capacity and increases the complexity of identifying the existence of secret data. It also compresses the stego-image without much degradation in the visibility of stego image.

References
  1. M.S.Subhedar and V.H.Mankar, “Current status and key issues in image steganography: A survey”, Computer Science Review (2014).
  2. Rajeev Kumar and Ki-Hyun Jung, “A Systematic survey on block truncation coding based data hiding techniques”, Multimedia Tools and Applications, July 2019.
  3. X.Liao, Q.Wen, and J.Zhang, “Improving the adaptive steganographic methods based on modulus function”, IEICE Transactions on Fundamentals of Electronics, Communication and Computer Science, Vol.96, No.12, 2013, pp.2731–2734.
  4. Z. Ni, Y.Q. Shi, N. Ansari and W. Su, “Reversible data hiding”, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 16, No. 3, March 2006,pp.354–362.
  5. C.C. Chang, C.C. Lin, C.S. Tseng and W.L. Tai, “Reversible hiding in DCT-based compressed images”, Information Sciences, Vol. 177, No. 13, July 2007, pp. 2768–2786.
  6. X. Liao, K. Li and J. Yin, “Separable data hiding in encrypted image based on compressive sensing and discrete fourier transform”, Multimedia Tools and Applications, Vol. 76, No. 20, 2016, pp. 20739–20753.
  7. B.Yang, M. Schmucker, W. Funk, C. Brush and S.Sun, “Integer DCT-based reversible watermarking for images using compounding technique”, Proceedings of the SPIE, Security, Steganography and Watermarking of Multimedia Contents, vol. 5306, June 2004, pp. 405–415.
  8. C.C. Chang and C.Y. Lin, “Reversible steganographic method using SMVQ approach based on declustering”, Information Sciences, Vol. 177, No. 8, 2007, pp.1796–1805.
  9. C.C. Chang, C.Y. Lin and Y.H. Fan, “ Lossless data hiding for color images based on block truncation coding”, Pattern Recognition, Vol. 41, No. 7, July 2008, pp.2347–2357.
  10. P.F. Shiu, W.L. Tai, J.K. Jan, C.C. Chang and C.C. Lin, “An Interpolative AMBTC-based high-payload RDH scheme for encrypted images”, Signal Processing: Image Communication, Vol. 74, May 2019, pp. 64–77.
  11. C.K. Chan and L.M. Chen, “Hiding Data in Images by Simple LSB Substitution”, Pattern Recognition, Vol. 37, No. 3, March 2004, pp.469–474.
  12. D.C. Wu and W.H. Tsai, “A steganographic method for images by pixel-value differencing”, Pattern Recognition Letters, Vol. 24, No. 9, June 2003, pp.1613–1626.
  13. X. Liao, J. Yin, S. Guo, X. Li and A.K. Sangaiah, “ Medical JPEG image steganography based on preserving inter-block dependencies”, Computers & Electrical Engineering, Vol. 67, 2018, pp:320–329.
  14. A. Amirulhaqi, T.W. Purboyo and R.A.Nugrahaeni, “Security on GIF images using steganography with LSB method, spread spectrum and the vigenere cipher”, International Journal of Applied Engineering Research, Vol. 12, No. 23, 2017, pp. 13604–13609.
  15. E. Delp and O. Mitchell, “Image compression using block truncation coding”, IEEE Transactions on Communications, Vol. 27, No. 9, September 1979, pp. 1335–1341.
  16. J. Chen, W. Hong, T.S. Chen and C.W. Shiu, “Steganography for BTC compressed images using no distortion technique”, The Imaging Science Journal, Vol. 58, 2010, pp. 177-185.
  17. C.H. Li, Z.M. Lu and Y.X. Su, “Reversible data hiding for BTC-compressed images based on bitplane flipping and histogram shifting of mean tables”, Information Technology Journal, Vol. 10, No. 7, 2011, pp.1421–1426.
  18. W. Sun, Z.M. Lu and Y.C. Wen, “High performance reversible data hiding for block truncation coding compressed images”, Signal Image Video Processing, Vol. 7, 2013, pp. 297–306.
  19. C.C. Lo, Y.C. Hu, W.L. Chen and C.M. Wu, “Reversible data hiding scheme for BTC-compressed images based on histogram shifting”, International Journal of Security and its Applications, Vol. 8, No. 2, 2014, pp.301–314.
  20. I.C. Chang, Y.C. Hu, W.L. Chen and C.C. Lo, “High capacity reversible data hiding scheme based on residual histogram shifting for block truncation coding”, Signal Processing, Vol. 108, 2015, pp.376–388.
  21. C.C. Lin, X.L. Liu, W.L. Tai and S.M. Yuan, “Novel reversible data hiding scheme based on AMBTC compression technique”, Multimedia Tools and Applications, Vol.74, 2015,pp.3823–3842.
  22. C.C. Lin, C.C. Chang and Z.M. Wang, “Reversible data hiding scheme using adaptive block truncation coding based on an edge-based quantization approach”, Symmetry, Vol. 11, 2019.
  23. M.D. Lema and O.R. Mitchell, “Absolute moment block truncation coding and its application to color image”, IEEE Transactions on Communications, Vol. 32, 1984, pp.1148–1157.
  24. D. Ou and W.Sun, “High payload image steganography with minimum distortion based on absolute moment block truncation coding”, Multimedia Tools and Applications, Vol. 74, 2015, pp.9117–9139.
Index Terms

Computer Science
Information Sciences

Keywords

AMBTC Compression Embedding Capacity Reversible Data Hiding Stego image.