Cover
Vol. 5 No. 1 (2009)

Published: May 31, 2009

Pages: 28-37

Original Article

Color Image Hiding In Cover Speech Signal By Using Multi-resolution Discrete Wavelet Transform

Lecturer Dr. Samir J.AL- Muraab 1 Asst. lecturer Haider I. AL-Mayaly
1Electrical Engineering Dept., Babylon University
History
  • Received: March 31, 2009
  • Available Online: May 31, 2009
DOI

https://doi.org/10.37917/ijeee.5.1.3

Abstract

Data hiding, a form of steganography, embeds data into digital media for the purpose of identification, annotation, security, and copyright. The goal of steganography is to avoid drawing suspicion to the transmission of a hidden message. Digital audio provides a suitable cover for high-throughput steganography. In this paper a high robustness system against the attackers in hiding of color images is presented. We used the multi-resolution discrete wavelet transform in hiding process. The JPEG format type for color images and WAV format for speech cover signal that used in test of system. Programs and graphics are executed by using MATLAB version 6.5 programs.

Keywords

References

  1. F. A. P. Petitcolas, R. J. Anderson, and M. G. Kuhn, "Information hiding-a survey," Proceedings of the IEEE 87, pp. 1062-1078, July 1999.
  2. N. F. Johnson and S. Jajodia, "Exploring steganography: Seeing the unseen," IEEE Computer 31(2), pp. 26-34, 1998.
  3. R. J. Anderson and F. A. P. Petitcolas, "On the limits of steganography," IEEE Journal on Selected Areas in Communications 16, pp. 474-481, May 1998.
  4. J. Fridrich and M. Goljan, "Practical steganalysis of digital images-state of the art," Proceedings of the SPIE Photonics West 4675, pp. 1-13, 2002.
  5. N. F. Johnson and S. Jajodia, "Steganalysis: The investigation of hidden information," Proceedings of the 1998 IEEE Information Technology Conference, pp. 113-116, 1998.
  6. J. Fridrich, M. Goljan, and D. Hogea, "Steganalysis of JPEG images: Breaking the F5 algorithm," 5th International Workshop on Information Hiding, 2002.
  7. S. Lyu and H. Farid, "Detecting hidden messages using higher-order statistics and support vector machines," 5th International Workshop on Information Hiding, 2002.
  8. (Implicitly referenced in Section 2. See original text for missing ref [8])
  9. R. Wilson, "Multiresolution Image Modelling", Electronic and Comunication Journal, pp.89-97, April 1997.
  10. (Implicitly referenced in Section 2. See original text for missing ref [10])
  11. S. Mallat A Theory For Multiresolution Signal Decomposition: The Wavelet Transform", IEEE Trans. Pattern Anal. Machine Intell. Vol.11 No.7, PP. 674-693,1989.
  12. (Implicitly referenced in Section 2. See original text for missing ref [12])
  13. F. Reyadh. AL-Hashimi, "Text-Independent Speaker Recognition Using Wavelet And Neural Networks" M. Sc. Thesis, Collge of Engineering, University of Baghdad, Baghdad, November, 2002.
  14. E. C. Ifeachor, B. W. Jervis, Digital Signal Processing: a Practical Approach", Addison - Wesley, 1996.
  15. C. Cachin, "An Information-Theoretic Model for Steganography", Proceedings of 2nd Workshop on Information Hiding, MIT Laboratory for Computer Science, May 1998.
  16. S. Katzenbeisser, and Fabien A. P. Petitcolas, "Information Hiding Techniques for Steganography and Digital Watermarking" Rolf Oppliger, Series Editor, 2000.