Recently, several digital watermarking techniques have been proposed for
hiding data in the frequency domain of moving image files to protect their
copyrights. However, in order to detect the water marking sufficiently after
heavy compression, it is necessary to insert the watermarking with strong
intensity into a moving image, and this results in visible deterioration of the
moving image. We previously proposed an authentication method using a discrete
wavelet transform for a digital static image file. In contrast to digital
watermarking, no additional information is inserted into the original static
image in the previously proposed method, and the image is authenticated by
features extracted by the wavelet transform and characteristic coding. In the
present study, we developed an authentication method for a moving image by using
the previously proposed method for astatic image and a newly proposed method
for selecting several frames in the moving image. No additional information is
inserted into the original moving image by the newly proposed method or into
the original static image by the previously proposed method. The experimental
results show that the proposed method has a high tolerance of authentication to
both compressions and vicious attacks.
References
[1]
Cox, I.J., Kilian, J., Leighton, T. and Shamoon, T. (1997) Secure Spread Spectrum Watermarking for Multimedia. IEEE Transactions on Image Process, 6, 1673-1687. http://dx.doi.org/10.1109/83.650120
[2]
Inoue, H., Miyazaki, A., Miyamoto, A. and Katsura, T. (1988) A Digital Watermark Based on the Wavelet Transform and Its Robustness on Image Compression. 1998 International Conference on Image Processing, 2, 391-395.
[3]
Kundur, D. and Hatzinakos, D. (1997) A Robust Digital Image Watermarking Method Using Wavelet-Based Fusion. International Conference on Image Processing, 1, 544-547. http://dx.doi.org/10.1109/ICIP.1997.647970
[4]
Shino, M., Choi, Y. and Aizawa, K. (2000) Wavelet Domain Digital Watermarking Based on Threshold-Variable Decision. Technical Report of IEICE, DSP2000-86, 100, 29-34. (In Japanese)
[5]
Swanson, M.D., Zhu, B. and Tewfik, A.H. (1996) Transparent Robust Image Watermarking. International Conference on Image Processing, 3, 211-214. http://dx.doi.org/10.1109/ICIP.1996.560421
[6]
Tsai, M.J., Yu, K.Y. and Chen, Y.Z. (2000) Joint Wavelet and Spatial Transformation for Digital Watermarking. IEEE Transactions on Consumer Electronics, 46, 241-245.
[7]
Xia, X.G., Boncelent, C.G. and Arce, G.R. (1997) A Multiresolusion Watermark for Digital Image. International Conference on Image Processing, 1, 548-551. http://dx.doi.org/10.1109/ICIP.1997.647971
[8]
Inoue, D. and Yoshitomi, Y. (2009) Watermarking Using Wavelet Transform and Genetic Algorithm for Realizing High Tolerance to Image Compression. Journal of the IIEEJ, 38, 136-144.
[9]
Yoshitomi, Y., Asada, T., Kinugawa, Y. and Tabuse, M. (2011) An Authentication Method for Digital Audio Using a Discrete Wavelet Transform. Journal of Information Security, 2, 59-68. http://dx.doi.org/10.4236/jis.2011.22006
[10]
Asada, T., Yoshitomi, Y. and Tabuse, M. (2010) A Verification Method for a Digital Image File Using a Discrete Wavelet Transform. Journal of IIEEJ, 39, 1088-1094. (In Japanese)
Fujii, R., Noguchi, T., Tamura, M., Yoshitomi, Y., Asada, T. and Tabuse, M. (2014) A Verification Method for a Moving Image File Using a Discrete Wavelet Transform. Proceedings of Forum on Information Technology, 3, 195-196. (In Japanese)