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A High Capacity Steganographic Technique based on LSB and PVD Modulus Methods
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 22 - Number 5 |
| Year of Publication: 2011 |
| Authors: Manjunath Gadiparthi, Keshav Sagar, Divya Sahukari, Rakesh Chowdary |
10.5120/2582-3568
|
Manjunath Gadiparthi, Keshav Sagar, Divya Sahukari, Rakesh Chowdary . A High Capacity Steganographic Technique based on LSB and PVD Modulus Methods. International Journal of Computer Applications. 22, 5 ( May 2011), 8-11. DOI=10.5120/2582-3568
Abstract
Though many novel image steganographic techniques have been proposed in the recent years, PVD modulus method produces high quality stego images, when compared with other methods. But a significant drawback of PVD modulus method is low capacity. The hiding capacity is extremely low in PVD modulus method, when compared with other methods like LSB, etc. The reason for the low hiding capacity is that, with PVD modulus method we divide the pixel blocks in to smooth blocks where, the pixel value difference is low and edge blocks where the pixel value difference is high. In this paper, we propose a technique, which is a combination of PVD modulus and LSB method. As per the experimental results hiding capacity increases enormously.
References
- Johnson, N. and Jajodia, S. Exploring steganography: Seeing the unseen, IEEE Computers. Vol.31, 1998, pp.26–34.
- Ingemar J. Cox, Matthew L. Miller, Jeffrey A. Bloom, Jessica Fridrich and Ton Kalker, Digital Watermarking and Steganography 2nd Edition, Morgan Kaufmann Publishers, 2008.
- Nan-I Wu and Min-Shiang Hwang, Data Hiding: Current Status and Key Issues, International Journal of Network Security, Vol.4, No.1, 2007 PP.1–9
- C.-C. Chang and W.-C. Wu, Hiding secret data adaptively in vector quantization index tables, IEEE Proceedings -Vison and Image Signal Processing, Vol. 153, 2006, pp.589-597
- Artz, D., Digital Steganography: Hiding Data within Data, IEEE Internet Computing Journal, June2001
- Bao, P., and Ma, X.: Image adaptive watermarking using wavelet domain singular value decomposition, IEEE Trans. Circuits Syst. Video Technol., vol.15, 2005, pp. 96–102
- Walton, S,Image authentication for a slippery new age, Dr. Dobbs J., 1995, 20, (4), pp. 18–26
- Wang, R.Z., Lin, C.F., and Lin, J.C.: Image hiding by optimal LSB substitution and genetic algorithm‟, Pattern Recognition., 2001, 34, (3),pp. 671–683
- Chang, C.C., Hsiao, J.Y., and Chan, C.S.: „Finding optimal least significant- bit substitution in image hiding by dynamic programming strategy‟, Pattern Recognition., 2003, 36, (7), pp. 1583–1595
- Lee, Y.K., and Chen, L.H.: „High capacity steganographic model, IEE Proc., Vis. Image Signal Process., 2000, 147, (3), pp. 288–294
- Fu, M.S., and Au, O.C.: „Data hiding watermarking for halftone images‟, IEEE Trans. Image Process., 2002, Tseng, Y.C., Chen, Y.Y., and Pan, H.K.: „A secure data hiding scheme for binary images, IEEE Trans. Commun., 2002, 50, pp. 1227–123.
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