Combined DWT-CT Blind Digital Image Watermarking Algorithm
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
Combined DWT-CT Blind Digital Image Watermarking Algorithm

Authors: Nidal F. Shilbayeh, Belal AbuHaija, Zainab N. Al-Qudsy

Abstract:

In this paper, we propose a new robust and secure system that is based on the combination between two different transforms Discrete wavelet Transform (DWT) and Contourlet Transform (CT). The combined transforms will compensate the drawback of using each transform separately. The proposed algorithm has been designed, implemented and tested successfully. The experimental results showed that selecting the best sub-band for embedding from both transforms will improve the imperceptibility and robustness of the new combined algorithm. The evaluated imperceptibility of the combined DWT-CT algorithm which gave a PSNR value 88.11 and the combination DWT-CT algorithm improves robustness since it produced better robust against Gaussian noise attack. In addition to that, the implemented system shored a successful extraction method to extract watermark efficiently.

Keywords: DWT, CT, Digital Image Watermarking, Copyright Protection.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1081461

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2854

References:


[1] Al-Haj, A. (2007), Combined DWT-DCT Digital Image Watermarking, Journal of Computer Science, Vol. 3, No. 9, pp:740-746.
[2] Amirgholipour, S. & Naghsh-Nilchi, A. (2009), Robust Digital Image Watermarking Based on Joint DWT-DCT, International Journal of Digital Content Technology and its Applications, Vol.3, No. 2. pp:42- 55. doi: 10.4156/jdcta.vol3.issue2.amirgholipour
[3] Candik, M., Matus, E. & Levicky, D. (2001), Watermarking in Wavelet Transform Domain, Radioengineering, Vol. 10, No. 2, pp:1-4.
[4] Do, M. & Vetterli, M. (2005), TheContourlet Transform: An Efficient Directional Multiresolution Image Representation, IEEE Transactions on Image Processing Image Processing, Vol.14, No. 12, pp:2091-2106.
[5] El rube-, I. ,Abou el Nasr, M. , Naim,M. & Farouk, M. (2009), Contourlet Versus Wavelet Transform for Robust Digital Image Watermarking Technique, wordAcademy of Science, Engineering and Technology 60.
[6] Emek, S. & Pazarci, M. (2005) , A Cascade DWT-DCT Based on Digital Watermarking Scheme, ,13th European Signal Processing, Conference(EUSIPCO2005), Antalya, Turkey, Sept. 4-8 2005.
[7] Ghannam, S. & Abou-chadi, F. (2009), Contourlet Verses Wavelet Transform: A Performance Study for a Robust Image Watermarking,. Second International Conference Applications of Digital Information and Web Technologies, on the 2009. ICADIWT '09.
[8] Jayalakshmi, M., Merchant, S. & Desia, B.(2006), Digital Watermarking in Contourler Domain, The 18th International Conference on Pattern Recognition, pp:861-864.
[9] Jiansheng, M., Sukang, L. & Xiaomei,T. (2009), A Digital Watermarking Algorithm based on DCT and DWT, Proceedings of the 2009 International Symposium on Web Information Systems and Applications (WISA-09 Nanchang, P. R. China, May 22-24, 2009, pp. 104-107.
[10] Khalighi, S. & Rabiee, H. (2009), A Contourlet-based Image Watermarking Scheme with High Resistance to Removal and Geometrical Attacks, EURASIP Journal on Advances in Signal Processing, doi,10.1155/2010/540723.
[11] Shilbayeh N. & Ashimary A. (2010), Digital Watermark System Based on Cascading Haar Wavelet Transform and Discrete Wavelet Transform, Journal of Applied Science, Vol.10, No.19, pp. 2168-2186.