Call for Paper - January 2023 Edition
IJCA solicits original research papers for the January 2023 Edition. Last date of manuscript submission is December 20, 2022. Read More

A Robust Wavelet Packet Based Blind Digital Image Watermarking using HVS characteristics

Print
PDF
International Journal of Computer Applications
© 2011 by IJCA Journal
Volume 36 - Number 9
Year of Publication: 2011
Authors:
C. Patvardhan
A. K. Verma
C. Vasantha Lakshmi
10.5120/4517-6403

C Patvardhan, A K Verma and Vasantha C Lakshmi. Article: A Robust Wavelet Packet Based Blind Digital Image Watermarking using HVS characteristics. International Journal of Computer Applications 36(9):6-12, December 2011. Full text available. BibTeX

@article{key:article,
	author = {C. Patvardhan and A. K. Verma and C. Vasantha Lakshmi},
	title = {Article: A Robust Wavelet Packet Based Blind Digital Image Watermarking using HVS characteristics},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {36},
	number = {9},
	pages = {6-12},
	month = {December},
	note = {Full text available}
}

Abstract

In this paper, we present a new method of digital image watermarking in wavelet domain using Discrete Wavelet Packet Transform (DWPT) analysis of the host image. The discrete wavelet packet decomposition is chosen to utilize all high frequency components in order to make the watermarking more imperceptible using Coif5 as wavelet basis. According to the characteristics of Human Visual System (HVS), human eyes are less sensitive in high frequency bands having orientation of〖 45〗^0, Therefore; the binary watermark is embedded in the high frequency diagonal components of wavelet packet decomposition tree which have maximum entropy. Watermarking is achieved by generating a pseudo-random sequence and then embedding it into wavelet coefficients according to the watermark bit pattern. Performance of the proposed scheme is evaluated on a variety of images including Lena, Boat, Cameraman and a textured image of Brodatz database. The results show that, the proposed scheme provides good level of imperceptibility as well as robustness against various attacks such as JPEG compression, Filtering, Noise addition, Cropping etc. and competes well with existing methods.

References

  • G. Voyatzis, N. Nikolaidis, I. Pitas, “Digital Watermarking: An overview”, in Proceeding of 9th European Signal Processing Conference, pp: 9-12, Sept 1998.
  • R. G. van Schyndel, A. Z. Tirkel, and C. F. Osborne, "A digital watermark”, IEEE Proceedings ICIP, vol.2, pp. 86-90, 1994.
  • N. Nikolaidis, and I. Pitas, Copyright protection of images using robust digital signatures, IEEE International Conference on Acoustics, Speech Signal Processing, vol. 4, pp.2168-2171, May1996.
  • R. Wolfgang and E. Delp, A watermark for digital image, IEEE Proceedings ICIP, vol.3, pp.211-214, 1996.
  • Emir Ganic, Scott D. Dexter, Ahmet M. Eskicioglu, Embedding Multiple Watermarks in the DFT Domain using Low and High Frequency Bands, Proceedings on Security, Steganography, and Watermarking of Multimedia Contents, Volume VII, vol. 5681, SPIE.
  • Lin S. D., Chin Feng Chen, A robust DCT-based watermarking for copyright protection, IEEE Transactions on Consumer Electronics, Vol. 46, Issue.03, pp. 415-421, August, 2000.
  • I. J. Cox, Joe Kilian, F. Thomson Leighton, and Talal Shamoon, Secure Spread Spectrum Watermarking for Multimedia, IEEE Transactions on Image Processing, Vol. 6, No. 12, December 1997.
  • C. V. Serdean, M. Tomlinson, J. G. Wade and M. A. Ambroze,Protecting Intellectual Rights: Digital WM in the Wavelet Domain, Proceedings of the IEEE International Workshop on Trends and Recent Achievements in Information Technology, Cluj-Napoca, Romania, 16-18 May, 02, ISBN: 973-8335-49-3.
  • C. S. Woo, Du J., Pham B., Performance Factors Analysis of a Wavelet-based Watermarking Method, Proceedings of 3rd Australian Information Security Workshop (AISW2005), CRPIT, vol. 44, pp. 89-97, 2005.
  • A. Adhipathi Reddy, B. N. Chatterji, “Wavelet Packet Based Digital Image Watermarking,” Proceedings of the Fourth Indian Conference on Computer Vision, Graphics Image Processing (ICVGIP), pp.364-369, 2004.
  • A.H. Paquet, R.K. Ward and I. Pitas, “Wavelet packets-based digital watermarking for image verification and authentication", Published in Signal Processing Journal, ACM digital library, Special section: Security of data hiding technologies, Volume 83, Issue 10, October 2003.
  • Vehel J. L., Manoury A., “Wavelet packet based digital watermarking”, in Proceedings of 15th International Conference on Pattern Recognition, Vol. 03, pp. 423-416., August, 2002.
  • Salwa A. K. Mostafa, Naser El-Sheimy, A. S. Tolba, F. M. Abdelkader and Hisham M. Elhindy, “Wavelet Packets-Based Blind Watermarking for Medical Image Management”, The Open Biomedical Engineering Journal, Vol. 04, pp. 93–98, 2010.
  • Coifman R. R., Wirckerhauser M.V., “Entropy based algorithms for best basis selection”, IEEE Trans. On Inf. Theory, vol. 38, no. 2, pp. 713-718, 1992.
  • M. Misiti, Y. Misiti, G. Oppenheim, J. M. Poggi, “Wavelets and their Applications”, ISTE, ISBN: 978-1-905209-31-6, 2007.
  • A. B. Watson, G. Y. Yang, J. A. Solomon and J. Villasenor. “Visibility of Wavelet Quantization Noise”. IEEE Transection on Image Processing, vol. 6, pp. 1164-1175, Aug 1997.