Semisubsampled wavelet transform based image watermarking with strong robustness to rotation attacks

被引：2

作者：

Hou Y. ^{[1
,2
]}

Zhao C. ^{[1
]}

Liu M. ^{[2
]}

Zhu Z. ^{[1
]}

Yang D. ^{[2
]}

机构：

[1] School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing

[2] School of Information Science and Technology, Taishan University, Taian

来源：

Journal of Multimedia | 2010年 / 5卷 / 04期

关键词：

Image watermarking; Rotation attacks; Semisubsampled wavelet transform;

D O I：

10.4304/jmm.5.4.385-392

中图分类号：

学科分类号：

摘要：

In this paper, we develop a novel transform called semisubsampled wavelet transform (SSWT) and employ it to image watermarking. SSWT consists of two parts, one is nonsubsampled tight frame transform, the other is critically sampled wavelet transform (WT). Embedding watermark into the low-frequency sub-band of SSWT, the imperceptibility and robustness of watermark can be significantly improved comparing with some existing watermarking schemes. Experimental results show that proposed blind watermarking scheme is robust against JPEG compression, Gaussian noise, Wiener filtering and median filtering attacks. For rotation attack, we propose a novel watermarking resynchronization approach, the ideal watermark can be always successfully extracted after resynchronization operation to any angle rotated watermarked image. Experimental results show that the proposed resynchronization approach is considerably effective and feasible. © 2010 Academy Publisher.

引用

页码：385 / 392

页数：7

共 21 条

[1]

Lesk M., The good, the bad, and the ugly: What might change if we had good DRM,, IEEE Security Privacy Mag., 1, pp. 63-66, (2003)

[2]

Hartung F., Ramme F., Digital right management and watermarking of multimedia content for m-commerce applications,, IEEE Commun. Mag., 38, pp. 78-84, (2000)

[3]

Cox I.J., Kilian J., Leighton F.T., Shamoon T., Secure spread spectrum watermarking for multimedia,, IEEE Trans. Image Process, 6, pp. 1673-1687, (1997)

[4]

Bi N., Sun Q.Y., Huang D.R., Yang Z.H., Huang J.W., Robust Image Watermarking Based on Multiband Wavelets and Empirical Mode Decomposition,, IEEE Trans. Image Process., 16, pp. 1956-1966, (2007)

[5]

Wang S.H., Lin Y.P., Wavelet tree quantization for copyright protection watermarking,, IEEE Trans. Image Process., 13, pp. 154-165, (2004)

[6]

Cox I.J., Miller M.L., The first 50 years of electronic watermarking,, J. Appl. Signal Process., 2, pp. 126-132, (2002)

[7]

Lahouari G., Ahmed B., Mohammad K.I., Said B., Digital image watermarking using balanced multiwavelets,, IEEE Trans. Signal Process., 54, pp. 1519-1536, (2006)

[8]

Ng T.M., Garg H.K., Maximum-likelihood detection in DWT domain image watermarking using Laplacian modeling,, IEEE Signal Process. Lett., 12, pp. 345-348, (2005)

[9]

Petitcolas F.A.P., Anderson R.J., Kuhn M.G., Attacks on copyright marking systems,, Proc. Workshop Information Hiding, pp. 15-17, (1998)

[10]

Kutter M., Petitcolas F.A.P., A fair benchmark for image watermarking systems,, Presented at the Electronic Imaging, Security and Watermarking of Multimedia Contents, 3657, (1999)

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