Abstract
Digital watermarking is one of the effective methods which can protect the copyright of multimedia data. This thesis presented a digital watermarking technology based on Arnold and DCT techniques. To improve the robustness of watermark, this thesis adopted the multi-embedded strategy. The DC coefficients in the block of the same location of each color components, are embedded the same robust watermark. The robust watermark is a binary copyright image being transformed by Arnold. The results show that, the proposed watermarking algorithm is an effective way to identify the copyright of image.
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References
Bender, W., Gruhl, D., Morimoto, N.: Technique for data hiding. IBM Systems Journal 35(3-4), 313–336 (1996)
Hsu, C.-T., Wu, J.L.: Hidden Signature in Image Processing.  8(1), 58–68 (1999)
Cox, I.J., Miller, M.L.: The First 50 years of Electronic watermarking. EURASIP J. of Applied Signal Proceessing 2, 126–132 (2002)
Neilson, G.M.: On Marching Cubes. IEEE Transactions on Visualization and Computer Graphics 9(3), 283–297 (2003)
Gao, J.G., Fowler, J.E., Younan, N.H.: An Image Adaptive Watermark Based on Redundant Wavelet Transform. In: Processing of the IEEE International Conference On Image processing, Thessaloniki (2001)
Niu, X., Lu, Z., Sun, S.: Digital watermarking of still images with graylevel ditigil watermarks. IEEE Trans. on Consumer Electronics 46 (2000)
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© 2011 Springer-Verlag Berlin Heidelberg
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Shang, C., Li, Yl. (2011). Research of Digital Watermark Based on Arnold and DCT Technology. In: Shen, G., Huang, X. (eds) Advanced Research on Computer Science and Information Engineering. CSIE 2011. Communications in Computer and Information Science, vol 152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21402-8_8
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DOI: https://doi.org/10.1007/978-3-642-21402-8_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21401-1
Online ISBN: 978-3-642-21402-8
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