Communications - Scientific Letters of the University of Zilina 2013, 15(11):145-149 | DOI: 10.26552/com.C.2013.2A.145-149

Novel Watermarking Methods Based on Frequency Domain and Singular Value Decomposition

Petr Cika1, Martin Zukal1
1 Department of Telecommunications, Faculty of Electrical Engineering and Communication, Brno University of Technology, Czech Republic

Nowadays, the copyright laws protecting the digital content are getting quite common. One of the important things is to protect the original or compressed images against illegal use. Frequency domain watermarking methods are used in most cases in today's image- and videowatermarking algorithms. Especially Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) are used in watermarking algorithms. This paper deals with development of two novel digital image watermarking methods that use DWT with Singular Value Decomposition (SVD) and DCT with SVD. The paper includes step by step process of watermark embedding and extraction and testing of the watermark robustness. The robustness was tested with the Checkmark, one of the watermark benchmarking tools. Experimental results show that both schemes are robust against a lot of attacks and have very high data hiding capacity.

Keywords: singular value decomposition, frequency domain, robustness, watermark

Published: July 31, 2013  Show citation

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Cika, P., & Zukal, M. (2013). Novel Watermarking Methods Based on Frequency Domain and Singular Value Decomposition. Communications - Scientific Letters of the University of Zilina, 15(2A), 145-149. doi: 10.26552/com.C.2013.2A.145-149
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    References

    1. COX, J., MILLER, M. L., BLOOM, J. A.: Digital Watermarking, Ed. London: Academic Press, 2002, ISBN 1-55860-714-5 Go to original source...
    2. DARMSTAEDTER, J. DELAIGLE, J. QUISQUATER, M. B.: Low-cost Spatial Watermarking. Computer&Graphics. vol. 33, No. 4, 1998, p. 417-424, ISSN 0097-8493 Go to original source...
    3. CIKA, P.: New Watermarking Scheme for Colour Image. 12th Intern. Conference on Personal Wireless Communications (PWC 2007), Prague,, vol. 245, 2007
    4. HARGAS, L.: Application of Communication Systems in Biomedical Engineering, 2006, Communications - Scientific Letters of the University of Zilina, No. 1, p. 43-47, 2006, ISSN 1335-4205 Go to original source...
    5. SVERDLOV, X., DEXTER, S., ESKICIOGLU, A. M.: Robust DCT/SVD Domain Image Watermarking for Copyright Protection: Embedding Data in all Frequencies, EUSIPCO, Antalya, 2005
    6. CIKA, P., ZUKAL, M.: Efficiency of BCH Codes in Digital Image Watermarking, 35th Intern. Conference on Telecommunications and Signal Processing (TSP), Prague, 2012 Go to original source...
    7. CIKA, P., KOVAR, P., KOHOUTEK, M.: Improved Digital Image Watermarking Method Based on DWT and SVD, 31st International Conference on Telecommunications and Signal Processing (TSP 2008), Paradfurdo, 2008
    8. CIKA, P.: Watermarking Scheme Based on Discrete Wavelet Transform and Error - Correction Codes, 16th Intern. Workshop on Systems, Signals and Image Processing (IWSSIP 2009), Chalkida, pp. 250-253, 2009 Go to original source...
    9. VOLOSHYNOVSKIY, P. S., MADUENO, M., MARCHAND-MAILLET, S., PUN, T.: Second Generation Benchmarking and Application Oriented Evaluation, Information Hiding Workshop, Pittsburgh, April 2001.
    10. MENG Z, YU P, YU G. Copyright Protection for Digital Image Based on Joint DWT-DCT Transformation, Wavelet Analysis and Pattern Recognition (ICWAPR), 2012 pp.11-14, 15-17 July 2012 doi: 10.1109/ICWAPR.2012.6294746. Go to original source...

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