Abstract
In this paper, we propose an ownership identification scheme for digital images with binary and gray-level ownership statements. The proposed method uses the theories and properties of sampling distribution of means to satisfy the requirements of robustness and security. Essentially, our method will not really insert the ownership statement into the host image. Instead, the ownership share will be generated by the sampling method as a key to reveal the ownership statement. Besides, our method allows ownership statements to be of any size and avoids the hidden ownership statement to be destroyed by the latter ones. When the rightful ownership of the image needs to be identified, our method can reveal the ownership statement without resorting to the original image. Finally, several common attacks to the image will be held to verify the robustness and the security is also analyzed.
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References
Braudaway, G.W., Magerlein, K.A., Mintzer, F.: Protecting Publicly-available Images with a Visible Image Watermark. In: Proc. SPIE, vol. 2659, pp. 126–133 (1996)
Cox, I.J., Kilian, J., Leighton, T., Shamoon, T.: Secure spread spectrum watermarking for multimedia. IEEE Trans. Image Process 6(12), 1673–1687 (1997)
Low, S., Maxemchuk, N.: Performance Comparison of Two Text Marking Methods. IEEE J. Selected Areas in Communications 16(4), 561–572 (1998)
Ohbuchi, R., Masuda, H., Aono, M.: Watermarking Three-Dimensional Polygonal Models through Geometric and Topological Modifications. IEEE J. Selected Areas in Communications 16(4), 551–560 (1998)
Katzenbeisser, S., Petitcolas, F.A.P.: Information Hiding Techniques for Steganography and Digital Watermarking, pp. 101–109. Artech house, Norwood (2000)
Hou, Y.C., Chen, P.M.: An Asymmetric Watermarking Scheme Based on Visual Cryptography. In: Proc. Fifth Signal Process. Conf., vol. 2, pp. 992–995 (2000)
Chang, C.C., Hsiao, J.Y., Yeh, J.C.: A Colour Image Copyright Protection Scheme Based on Visual Cryptography and Discrete Cosine Transform. The Imaging Sci. J. 50, 133–140 (2002)
Kim, W.S., Hyung, O.H., Park, R.H.: Wavelet Based Watermarking Method for Digital Images using the Human Visual System. Electron. Lett. 35, 466–468 (1999)
Berenson, M.L., Levine, D.M.: Basic Business Statistics: Concepts and Applications, pp. 337–353. Prentice-Hall, New Jersey (1999)
Acklam, P.J.: An Algorithm for Computing the Inverse Normal Cumulative Distribution Function (2004), Available: http://home.online.no/~pjacklam/notes/invnorm/
Bialas, W.F.: Lecture Notes in Applied Probability. Department of Industrial Engineering, the State University of New York at Buffalo (Summer 2004)
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© 2006 Springer-Verlag Berlin Heidelberg
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Hsu, CS., Tu, SF., Hou, YC. (2006). A Statistical Approach for Ownership Identification of Digital Images. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2006. Lecture Notes in Computer Science, vol 4179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11864349_61
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DOI: https://doi.org/10.1007/11864349_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44630-9
Online ISBN: 978-3-540-44632-3
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