Abstract
This paper presents a novel watermarking scheme based on multi-band wavelet. Different from many other watermarking schemes, in which the watermark detection threshold is chosen empirically, the false positive rate of the proposed watermarking scheme can be calculated analytically so that watermark detection threshold can be chosen based solely on the targeted false positive. Compared with conventional watermarking schemes implemented in two-band wavelet domain, by incorporating the principal component analysis (PCA) technique the proposed blind watermarking in the multi-band wavelet domain can achieve higher perceptual transparency and stronger robustness. Specifically, the developed watermarking scheme can successfully resist common signal processing such as JPEG compression with quality factor as low as 15, and some geometric distortions such as cropping (cropped by 50%). In addition, the proposed multi-band wavelet based watermarking scheme can be parameterized, thus resulting in more security. That is, an attacker may not be able to detect the embedded watermark if the attacker does not know the parameter.
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References
Zeng, W., Lan, J., Zhuang, X.: Network friendly media security: rationales, solutions, and open issues. In: Proc. IEEE Inter. Conf. Image Proc., Singapore (October 2004)
Wu, M., Liu, B.: Data hiding in images and video: Part I: Fundamental Issues and Solutions. IEEE Trans. on Image Processing 12(6), 685–695 (2003)
Petitcolas, F.A.P.: Watermarking schemes evaluation. IEEE Signal Processing 17(5), 58–64 (2000)
Tsai, M.J., Yu, K.Y., Chen, Y.Z.: Joint Wavelet and Spatial Transformation for Digital Watermarking. IEEE Trans. on Consumer Electronics 46(1), 241–245 (2000)
Hien, T.D., Chen, Y.W., Nakao, Z.: Robust Digital Watermarking Based on Principle Component Analysis. International Journal of Computational Intelligence and Applications 4(2), 183–192 (2004)
Sun, Q., Bi, N., Huang, D.: An Introduction to Multi-band Wavelets. Zhejiang University Press (2001)
Bi, N., Huang, D., Dai, Q., Li, F.: A class of orthogonal and symmetric 4-band wavelets with one-parameter. Mathematica Numerica Sinica 27(2), 1–10 (2005)
Chen, B., Wornell, G.W.: Quantization index modulation: A class of provably good methods for digital watermarking and information embedding. IEEE Trans. on Information Theory 47(4), 1423–1443 (2001)
Kang, X., Huang, J., Shi, Y.Q., Lin, Y.: A DWT-DFT composite watermarking scheme robust to both affine transform and JPEG compression. IEEE Trans. on Circuits and Systems for Video Technology 13(8), 776–786 (2003)
Cox, I., Kilian, J., Leighton, T., Shamoon, T.: Secure spread spectrum watermarking for multimedia. IEEE Trans. on Image Processing 6(12), 1673–1687 (1997)
Huang, J., Hu, J., Huang, D., Shi, Y.Q.: Improve security of fragile watermarking via parameterized wavelet. In: Proc. IEEE Inter. Conf. Image Proc., Singapore (October 2004)
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© 2005 Springer-Verlag Berlin Heidelberg
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Kang, X., Shi, Y.Q., Huang, J., Zeng, W. (2005). Multi-band Wavelet Based Digital Watermarking Using Principal Component Analysis. In: Barni, M., Cox, I., Kalker, T., Kim, HJ. (eds) Digital Watermarking. IWDW 2005. Lecture Notes in Computer Science, vol 3710. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11551492_11
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DOI: https://doi.org/10.1007/11551492_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28768-1
Online ISBN: 978-3-540-32052-4
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