Abstract
An adaptive watermarking algorithm operating in the ridgelet domain is proposed. Since the most significant coefficients of the ridgelet transform (RT) can represent the most energetic direction of an image with straight edge, the image is first partitioned into small blocks and RT is applied for each block. Followed by the multiplicative rule, the watermark sequence is casting into local linear singularity coefficients within the highest energy direction of each block. Through analyzing the distribution of the texture in ridgelet coefficients of each block, the feature of luminance masking and texture masking is incorporated to adjust the watermarkâs embedding strength. Then the embedded watermark can be blindly detected by correlation detector. Experiments show that the proposed algorithm can achieve a better tradeoff between the robustness and transparency.
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References
Briassouli, A., Tsakalides, P., Stouraitis, A.: Hidden messages in heavy-tails: DCT-domain watermark detection using alpha-stable models. IEEE Transactions on Multimedia 7, 700â714 (2005)
Mauro, B., Alessandro, P.: Improved wavelet-based watermarking through pixel-wisemasking. IEEE Transactions on image processing 10, 783â791 (2001)
Mobasseri, B.G., Berger II, R.J.: A foundation for watermarking in compressed domain. IEEE Signal Processing Letters 12, 399â402 (2005)
Victor, H., Mariko, N.-M., Hector, P.-M.: A robust DWT-based image watermarking algorithm. WSEAS Transactions and Communications 4, 1048â1057 (2005)
Do, M.N., Vetterli, M.: The finite ridgelet transform for image representation. IEEE Trans. Image Processing 12, 16â28 (2003)
Mohammad, E., Shantaram, V.: Performance evaluation of an incorporated DCT block-based watermarking algorithm with human visual system model. Pattern Recognition Letters 26, 1405â1411 (2005)
Voloshynovskiy, S., Pereira, S., Iquise, V., et al.: Attack modeling: Towards a second generation watermarking benchmark. Signal processing 8, 1177â1214 (2001)
Campisi, P., Kundur, D., Neri, A.: Robust digital watermarking in ridgelet domain. IEEE signal processing letters 11, 826â830 (2004)
Fabien, R.J.A., Kuhn, M.G.: Attacks on copyright marking systems. In: Aucsmith, D. (ed.) IH 1998. LNCS, vol. 1525, pp. 15â17. Springer, Heidelberg (1998)
Bogumil, D.: An asymmetric image watermarking scheme resistant against geometrical distortions. Signal Processing Image Communication 21, 59â66 (2006)
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Liang, X., Zhihui, W., Huizhong, W. (2006). Embedding Image Watermarks into Local Linear Singularity Coefficients in Ridgelet Domain. In: Zha, H., Pan, Z., Thwaites, H., Addison, A.C., Forte, M. (eds) Interactive Technologies and Sociotechnical Systems. VSMM 2006. Lecture Notes in Computer Science, vol 4270. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11890881_14
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DOI: https://doi.org/10.1007/11890881_14
Publisher Name: Springer, Berlin, Heidelberg
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