Browse > Article

Similar Patterns for Semi-blind Watermarking  

Cho, Jae-Hyun (School of Computer & Information Engineering, Catholic University)
Abstract
In this paper, we present a watermarking scheme based on the DWT (Discrete Wavelet Transform) and the ANN (Artificial Neural Network) to ensure the copyright protection of the digital images. The problem to embed watermark is not clear to select important coefficient in the watermarking. We used the RBF (Radial-Basis Function) to solve the problem. We didn't apply the whole wavelet coefficients, but applied to only the wavelet coefficients in the selected node. Using the ANN, although even the watermark casting process and watermark verification process are in public, nobody knows the location of embedding watermark except of authorized user. As the result, the watermark is good at the strength test-filtering, geometric transform and etc.
Keywords
Watermarking; DWT(Discrete Wavelet Transform); ANN(Artificial Neural Network); RBF (Radial-Basis Function);
Citations & Related Records
연도 인용수 순위
  • Reference
1 I. Pitas and T. Kaskalis, 'Applying Signatures on Digital Images,' In Proceeding of IEEE Nonlear Signal Processing Workshop, Thessaloniki, Greece, 1995
2 C. F. Osborne, R. G. Schyndel and A. Z. Tirkel, 'A Digital Watermarking' International Conference on Image Processing, November 1994
3 M. Kutter, F. Jordan, and F. Bossen, 'Digital Signature of Color images using Amplitude Modulation,' In Ishwar K. Sethi, editor, Proceedings of the SPIE Conference on Storage and Retrieval for Image and Video Databases, Vol. 2952, pp. 518 - 526, San Jose, USA,1997
4 K. I. Diamantaras, and S. Y. Kung, Principal Component Neural Networks, Theory and Applications, NY. Wiley, 1996
5 R. C. Gonzalez, R. E. Woods, Digital image processing, Second edition, Prentice Hall, 2001
6 Darpa, Neural Network Study, AFCEA International Press. 1988
7 J. M. Shapiro, 'Embedded Image coding using zerotreesof wavelet coefficients,' IEEE Transaction on Signal Processing, Vol. 41, No. 12, pp. 3445-3462, December 1993   DOI   ScienceOn
8 S. Haykin, Neural Networks: A Comprehensive Foundation, MacMillan, 1994
9 I. J. Cox, J. Kilian, T. Leighton and T. Shamoon, 'Secure Spread Spectrum Watermarking for Multimedia'" IEEE Transaction on Image Processing, Vol. 6, No. 12, pp. 1673-1687, 1997   DOI   ScienceOn
10 D. Kundur and D. Hatzinakos, 'Digital watermarking using Multiresolution Wavelet Decomposition,' In Proceeding of IEEE ICASSP '98, Vol. 5, pp. 2969 - 2972, Seattle, WA, USA, May 1998
11 T. Kohonen, 'Self-Grganizing Maps,' Berlin: Springer Verlag. First edition was 1995, second edition 1997
12 I. J. Cox, M. L. Miller and J. A. Bloom, Digital Watermarking, Academic Press, 2002
13 M. D. Swanson, M. Kobayashi, and A. TewFik, 'Multimedia Data-Embedding and Watermarking Technologies,' In Proceeding of IEEE, Vol. 86, No. 6, June 1998
14 S. Mallat', 'Multi-Frequency Channel Decom-position of Images Wavelets Models,' IEEE Trans. on Information Theory, Vol. 11, No.7, July 1992
15 H. J. Wang, P. C. Su and C. J. Kuo,'"Wavelet-based digital image watermarking'" Optics Express 3, pp. 497, December 1998
16 X. G. Xia, C. G. Boncelet and G. R. Arce, 'Wavelet Transform based Watermark for Digital Images,' Optics Express 3, pp. 497, December 1998
17 M. Kutter, 'http://www.watermarkingworld.org/,'WatermarkingWorld, 2000