CFP last date
20 January 2025
Reseach Article

Improved BEMD-DWT-DCT-SVD Robust Watermarking Technique for Still Images

by A. M. El-Assy, M. A. Mohamed, M. E. A. Abou-El-Seoud
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 150 - Number 9
Year of Publication: 2016
Authors: A. M. El-Assy, M. A. Mohamed, M. E. A. Abou-El-Seoud
10.5120/ijca2016911620

A. M. El-Assy, M. A. Mohamed, M. E. A. Abou-El-Seoud . Improved BEMD-DWT-DCT-SVD Robust Watermarking Technique for Still Images. International Journal of Computer Applications. 150, 9 ( Sep 2016), 13-20. DOI=10.5120/ijca2016911620

@article{ 10.5120/ijca2016911620,
author = { A. M. El-Assy, M. A. Mohamed, M. E. A. Abou-El-Seoud },
title = { Improved BEMD-DWT-DCT-SVD Robust Watermarking Technique for Still Images },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 150 },
number = { 9 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 13-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume150/number9/26120-2016911620/ },
doi = { 10.5120/ijca2016911620 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:55:30.164962+05:30
%A A. M. El-Assy
%A M. A. Mohamed
%A M. E. A. Abou-El-Seoud
%T Improved BEMD-DWT-DCT-SVD Robust Watermarking Technique for Still Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 150
%N 9
%P 13-20
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As a result of the growth of the technology the Protection of digital multimedia content has become a difficult, However; the imperceptible and robust image watermarking algorithm have been presented to defend the copyright protection. In this paper we presented a proposed method based on Bidimensional Empirical Mode Decomposition (BEMD); discrete wavelet transform (DWT); discrete cosine transform (DCT), and singular value decomposition (SVD). The results obtained from the experimentation showed that the algorithm has excellent robustness against different attacks, e.g. jpeg compression, additive Gaussian noise, cropping, rotation, and Gamma correction. The resulting PSNR achieved up to 60.1629 dB in case of free attacks. In addition, the results of proposed algorithm have been compared with many new related algorithms, published in trusted journals to prove that proposed technique is the best.

References
  1. C.I. Podilchuk and E.J. Delp. 2001. Digital Watermarking: Algorithms and Applications. IEEE Signal Processing Magazine Journal, vol. 18, no. 4, pp. 33-46, (July 2001).
  2. I.J. Cox, M.L. Miller, and J.A. Bloom. 2002. Digital Watermarking. Morgan Kaufmann.
  3. W.C. Hu, W.H. Chen, and C.Y. Yang. 2012. Robust image watermarking based on discrete wavelet transform, discrete cosine transform and singular value decomposition. Journal of Electronic Imaging, vol. 21, no. 3, p. 033005, (July 2012).
  4. P. Taoaand and A.M. Eskicioglu. 2004. A robust multiple watermarking scheme in the Discrete Wavelet Transform domain. Internet Multimedia Management Systems Proceedings of the SPIE, vol. 5601, pp. 133-144.
  5. M. Mondal and D. Barik. 2012. Spatial Domain Robust Watermarking Scheme for Color Image. International Journal of Advanced Computer Science, vol. 2, no. 1, pp. 24–27, (January 2012).
  6. E. Ganic and A.M. Eskicioglu. 2004. Robust DWT-SVD Domain Image Watermarking: Embedding Data in All Frequencies. Proceedings of the 2004 multimedia and security workshop on Multimedia and Security. pp. 166-174, (September 2004).
  7. A. Sverdlov, S. Dexter, A.M. Eskicioglu. 2005. Robust DCT-SVD Domain Image Watermarking For Copyright Protection: Embedding Data In All Frequencies. Proceedings of the 13th European Signal Processing Conference (EUSIPCO2005). Antalya. Turkey.( September 2005).
  8. M.I. Khan, M.M. Rahman and M. I. H. Sarker. 2013. Digital Watermarking for Image Authentication based on Combined DCT, DWT, and SVD Transformation. International Journal of Computer Science, Vol. 10. No. 5, pp. 223–230.
  9. K. Loukhaoukha, A. Refaey, K. Zebbiche, and M. Nabti. 2015. On the Security of Robust Image Watermarking Algorithm based on Discrete Wavelet Transform, Discrete Cosine Transform and Singular Value Decomposition. International Journal of Applied Mathematics and Information Sciences, Vol. 9, no. 3, pp. 1159-1166-81, (May 2015).
  10. K. Amolins, Y. Zhang and P. Dare. 2007. Wavelet based image fusion techniques—An introduction, review and comparison. ISPRS J. Photogramm. Remote Sens., vol. 62, no. 4, pp. 249-263.
  11. W. Dong, X. Li, X. Lin, and Z. Li. 2024. A Bidimensional Empirical Mode Decomposition Method for Fusion of Multispectral and Panchromatic Remote Sensing Images. remote sensing, vol. 6, no. 9, pp. 8446-8467.
  12. H. Olkkonen. 2011. Discrete wavelet transforms - algorithms and applications. InTech. (August 2011).
  13. K.R. Roa and P. Yip. 1990. Discrete Cosine Transform: Algorithms, Advantages, Applications “Academic Press, Boston.
  14. K. Baker. 2005. Singular Value Decomposition Tutorial, (March 29, 2005)
  15. T. Ramashri and S.N. Reddy. 2009. Robust Image Watermarking Algorithm Using Decimal Sequences. International Journal of Wireless Networks and Communications, vol. 1, pp. 1–8.
  16. A. Al-Haj and A. Abu-Errub. 2008. Performance Optimization of Discrete Wavelets Transform Based Image Watermarking Using Genetic Algorithms. Journal of Computer Science. vol. 4, no. 10, pp. 834-841.
  17. J.J. Eggers and B. Girod. 2001. Quantizaion effects on digital watermarks. Signal Processing, vol. 81, no. 2, pp. 239– 263, (February 2001).
  18. J.S. Pan, H.C. Huang, and F.H. Wang. 2001. Genetic Watermarking Techniques. Fifth Int'l Conf. on Knowledge-Based Intelligent Information Engineering System & Allied Technologies.
  19. P. Taoaand and A.M. Eskicioglu. 2004. A robust multiple watermarking scheme in the Discrete Wavelet Transform domain. Internet Multimedia Management Systems Proceedings of the SPIE, vol.5601, pp. 133-144.
Index Terms

Computer Science
Information Sciences

Keywords

Bidimensional Empirical Mode Decomposition (BEMD) discrete wavelet transform (DWT) discrete cosine transform (DCT) and singular value decomposition (SVD).