Abstract
According to the structural similarity theory, the primary function of human visual system (HVS) is to extract the structural information from the view of human being. Therefore the structural information can be taken as an approximation measure of image quality. In this paper, a structural similarity based image authentication watermarking is proposed. The proposed algorithm can chooses the positions in original image where the pixels can be changed but cannot be perceived by human eyes. Experimental results show that the proposed algorithm meets the human visual effectively.
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References
Barni, M., Bartolini, F.: Data hiding for ¯ghting piracy. IEEE Signal Processing Magazine 21(2), 28–39 (2004)
Do, M., Vetterli, M.: The Contourlet transform: an efficient directional multiresolution image representation with bandlets. IEEE Transactions on Image Processing 14(4), 423–438 (2005)
Lou, O., Wang, X., Wang, Z.: Adaptive Image Watermarking Algorithm Based on the Characteristics of Important Coe±cients on Contourlet Domain. Computer Science 36(3), 237–240 (2009)
Wang, Z., Bovik, A.: A universal image quality index. IEEE Signal Processing Letters 9(3), 81–84 (2002)
Wang, Z., Bovik, A., Sheikh, H., Simoncelli, E.: Image quality assessment from error visibility to structural similarity. IEEE Transactions on Image Processing 13(4), 600–612 (2004)
Yang, W., Zhao, Y., Xu, D.: Method of image quality assessment based on human visual system and structural similarity. Journal of Beijing University of Aeronautics and Astronautics 34, 1–5 (2008)
Huang, L.: Research of image authentication based on digital watermarking, Ph.D Thesis, Hunan University (December 2008)
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© 2011 Springer-Verlag Berlin Heidelberg
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Zhang, F., Zheng, G., Xu, Y., Song, P. (2011). Structural Similarity Based Authentication Watermarking Algorithm. 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_45
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DOI: https://doi.org/10.1007/978-3-642-21402-8_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21401-1
Online ISBN: 978-3-642-21402-8
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