Abstract
With the exponential growth of digital materials in this age, the protection of Intellectual Property Right (IPR) becomes an important and urgent topic. In this paper, we propose a novel digital watermarking scheme based on the Singular Value Decomposition (SVD) method and the Distributed Discrete Wavelet Transformation (DDWT) method. Our scheme transforms original image data from the spatial domain into the frequency domain by using the multi-scale DDWT technique, and then applies the SVD technique by modifying singular values of two sub-bands with watermark data and the DDWT watermarking embedding process on the rest two sub-bands. Thus, watermark information is embedded into the four sub-bands of the last scale. We exploit both of the advantages of the DDWT method, which is robust against one kind of geometric attack, i.e. the cropping attack, and the SVD method, which is robust against other geometric attacks and non-geometric attacks. Experimental results show that the quality of the stego-image is superior and the embedded watermark has high resistance against a variety of common geometric and non-geometric attacks.
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References
Lin, C.H., Jen, J.S., Kuo, L.C.: Distributed discrete wavelet transformation for copyright protection. In: The 7th International Workshop on Image Analysis for Multimedia Interactive Services, Incheon, Korea, April 19-21, pp. 53–56 (2006)
Chandra, D.V.S.: Digital image watermarking using singular value decomposition. In: The 45th Midwest Symposium on Circuits and Systems (MWSCAS 2002), Tulsa, Oklahoma, USA, vol. 3, pp. III-264–III-267 (August 2002)
Ganic, E., Eskicioglu, A.M.: Robust DWT-SVD domain image watermarking: embedding data in all frequencies. In: The ACM Multimedia and Security Workshop, Magdeburg, Germany, September 20-21, pp. 166–174. ACM Press, New York (2004)
Inoue, K., Urahama, K.: DSVD: A tensor-based image compression and recognition method. In: The IEEE International Symposium on Circuits and Systems (ISCAS 2005), Kobe, Japan, May 23-26, vol. 6, pp. 6308–6311. IEEE Computer Society Press, Los Alamitos (2005)
Tian, M.S., Luo, W., Liao, L.Z.: An investigation into using singular value decomposition as a method of image compression. In: Yeung, D.S., Liu, Z.-Q., Wang, X.-Z., Yan, H. (eds.) ICMLC 2005. LNCS (LNAI), vol. 3930, pp. 5200–5204. Springer, Heidelberg (2006)
Ma, L., Li, C., Song, S.: Digital watermarking of spectral images using SVD in PCA-transform domain. In: The IEEE International Symposium on Communications and Information Technology (ISCIT 2005), Beijing, China, October 12-14, vol. 2, pp. 1489–1492. IEEE Computer Society Press, Los Alamitos (2005)
Ochoa, H., Rao, K.: A hybird DWT-SVD image-coding system (HDWTSVD) for monochromatic images. In: The IS&T/SPIE, Santa Clara, California, USA, January 20-24, vol. 5022, pp. 1056–1066 (2003)
Konstantinides, K., Yovanof, G.S.: Application of SVD based spatial filtering to video sequences. In: The IEEE International Conference on Acoustics, Speech and Signal Processing, Detroit, MI, May 9-12, vol. 4, pp. 2193–2196. IEEE Computer Society Press, Los Alamitos (1995)
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Liu, JC., Lin, CH., Kuo, LC., Chang, JC. (2007). Robust Multi-scale Full-Band Image Watermarking for Copyright Protection. In: Okuno, H.G., Ali, M. (eds) New Trends in Applied Artificial Intelligence. IEA/AIE 2007. Lecture Notes in Computer Science(), vol 4570. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73325-6_18
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DOI: https://doi.org/10.1007/978-3-540-73325-6_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73322-5
Online ISBN: 978-3-540-73325-6
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