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A Digital Watermarking Scheme Based on Singular Value Decomposition

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Combinatorics, Algorithms, Probabilistic and Experimental Methodologies (ESCAPE 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4614))

Abstract

Recently, digital watermarking techniques have been extensively applied on protecting rightful ownership of digital images. Some novel watermarking schemes which are based on SVD (Singular Value Decomposition) are being developed in some literatures [1, 15] nowadays. All of these SVD-based watermarking schemes have good embedding quality and high robustness, but they must depend on an original image or store some extra tables to extract watermarks. In this paper, we will propose an SVD-based watermarking scheme in order to reduce the load of the SVD-based watermarking system. Our proposed scheme can directly extract watermarks in the watermarked images without extra information. Furthermore, in our proposed scheme, we use a secure pseudo random number generator to decide embedded position in order to promote its security. According to the experimental results, our system can also maintain good embedding quality and high robustness.

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References

  1. Chandra, D.V.S.: Digital Image Watermarking Using Singular Value Decomposition. In: MWSCAS 2002. Proceedings of 45th Midwest Symposium on Circuits and Systems, August 4-7, 2002, vol. 3, pp. 264–267 (2002)

    Google Scholar 

  2. Chu, W.C.: DCT-Based Image Watermarking Using Subsampling. IEEE Transactions on Multimedia 5(1), 34–38 (2003)

    Article  Google Scholar 

  3. Chung, K.L., Shen, C.H., Chang, L.C.: A Novel SVD- and VQ-Based Image Hiding Scheme. Pattern Recognition Letters 22(9), 1051–1058 (2001)

    Article  MATH  Google Scholar 

  4. Cox, I.J., Kilian, J., Leighton, F.T., Shamoon, T.: Secure Spread Spectrum Watermarking for Multimedia. IEEE Transactions on Image Processing 6(12), 1673–1687 (1997)

    Article  Google Scholar 

  5. Golub, G.H., Reinsch, C.: Singular Value Decomposition and Least Squares Solutions. Numerische Mathematik 14, 403–420 (1970)

    Article  MATH  MathSciNet  Google Scholar 

  6. Hou, Z.: Adaptive Singular Value Decomposition in Wavelet Domain for Image Denoising. Pattern Recognition 36(8), 1747–1763 (2003)

    Article  MATH  Google Scholar 

  7. Hsieh, M.S., Tseng, D.C., Huang, Y.H.: Hiding Digital Watermarks Using Multiresolution Wavelet Transform. IEEE Transactions on Industrial Electronics 48(5), 875–882 (2001)

    Article  Google Scholar 

  8. Hsu, C.T., Wu, J.L.: Hidden Digital Watermarks in Images. IEEE Transactions on Image Processing 8(1), 58–68 (1999)

    Article  Google Scholar 

  9. Hwang, M.S., Chang, C.C., Hwang, K.F.: A Watermarking Technique Based on One-Way Hash Functions. IEEE Transactions on Consumer Electronics 45(2), 286–294 (1999)

    Article  Google Scholar 

  10. Iwata, M., Shiozaki, A.: Watermarking Method for Embedding Index Data into Images Utilizing Features of Wavelet Transform. IEICE Transactions on Fundamentals E84-A(7), 1772–1778 (2001)

    Google Scholar 

  11. Konstantinides, K., Natarajan, B., Yovanof, G.S.: Noise Estimation and Filtering Using Blocked-Based Singular Value Decomposition. IEEE Transactions on Image Processing 10(3), 479–483 (1997)

    Article  Google Scholar 

  12. Kutter, M., Jordan, F., Bossen, F.: Digital Watermarking of Color Images Using Amplitude Modulation. Journal of Electronic Imaging 7(2), 326–332 (1998)

    Article  Google Scholar 

  13. Langelaar, G.C., van der Lubbe, J.C.A., Lagendijk, R.L.: Robust Labeling Methods for Copy Protection of Images. In: Proceedings of SPIE Electronic Imaging 1997, Storage and Retrieval for Image and Video Database V, February 1997, pp. 298–309. San Jose, CA (1997)

    Google Scholar 

  14. Lee, C.H., Lee, Y.K.: An Adaptive Digital Watermarking Technique for Copyright Protection. IEEE Transactions on Consumer Electronics 45(4), 1005–1015 (1999)

    Article  Google Scholar 

  15. Liu, R., Tan, T.: An SVD-Based Watermarking Scheme for Protecting Rightful Ownership. IEEE Transactions on Multimedia 4(1), 121–128 (2002)

    Article  Google Scholar 

  16. Rabin, M.O.: Digitalized Signatures and Public-Key Functions as Intractable as Factorization. Technical Report MIT/LCS/TR212, Laboratory for Computer Science, Massachusetts Institute of Technology, Cambridge, MA (January 1979)

    Google Scholar 

  17. Voyatzis, G., Pitas, I.: Embedding Robust Watermarks by Chaotic Mixing. In: DSP 1997. Proceedings of 13th International Conference on Digital Signal Processing, vol. 1, pp. 213–216 (1997)

    Google Scholar 

  18. Yang, J.F., Lu, C.L.: Combined Techniques of Singular Value Decomposition and Vector Quantization for Image Coding. IEEE Transactions on Image Processing 4(8), 1141–1146 (1995)

    Article  Google Scholar 

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Bo Chen Mike Paterson Guochuan Zhang

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© 2007 Springer-Verlag Berlin Heidelberg

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Chang, CC., Hu, YS., Lin, CC. (2007). A Digital Watermarking Scheme Based on Singular Value Decomposition. In: Chen, B., Paterson, M., Zhang, G. (eds) Combinatorics, Algorithms, Probabilistic and Experimental Methodologies. ESCAPE 2007. Lecture Notes in Computer Science, vol 4614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74450-4_8

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  • DOI: https://doi.org/10.1007/978-3-540-74450-4_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74449-8

  • Online ISBN: 978-3-540-74450-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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