Abstract
The problem of optimum watermark recovery in a non additive, non Gaussian framework is addressed. Watermark casting is carried out on the frequency domain according to an additive-multiplicative rule. The structure of the optimum decoder is derived based on statistical decision theory. The Neyman-Pearson criterion is used to minimize the probability of missing the watermark for a given false detection rate. Experimental results highlights the superiority of the novel detector scheme with respect to conventional correlation-based decoding.
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Elmasry, G.F., Shi, Y.Q.: Maximum likelihood sequence decoding of digital image watermarking. In: Proc. SPIE’s Int. Symposium on Optical Science, Engineering and Instrumentation, San Jose, CA, USA, January 25-27, pp. 425–436 (1999)
Gonzalez, F.P., Hernandez, J.R.: Throwing more light on image watermarks. In: Aucsmith, D. (ed.) IH 1998. LNCS, vol. 1525, pp. 191–207 (1998)
Cox, I., Kilian, J., Leighton, F.T., Shamoon, T.: Secure spread spectrum watermarking for multimedia. IEEE Trans. Image Processing 6(12), 1673–1687 (1997)
Barni, M., Bartolini, F., Cappellini, V., Piva, A.: A DCT-domain system for robust image watermarking. Signal Processing 66(3), 357–372 (1998)
Barni, M., Bartolini, F., Cappellini, V., Piva, A.: Copyright protection of digital images by embedded umperceivable marks. Image and Vision Computing (1998)
Ó Ruanaidh, J.J.K., Pun, T.: Rotation, scale and translation invariant spread spectrum digital image watermarking. Signal Processing 66(3), 303–317 (1998)
Bartolini, F., Barni, M., Cappellini, V., Piva, A.: Mask building for perceptually hiding frequency embedded watermarks. In: Proc. IEEE Internat. Conf. Image Processing 1998, Chicago, Illinois, USA, October 4-7 (1998)
Scharf, L.L.: Statistical Signal Processing: Detection, Estimation, and Time Series Analysis. Addison-Wesley, Reading (1991)
Di Franco, J.V., Rubin, W.L.: Radar Detection. Artech House, Inc., Dedham (1980)
Piva, A., Barni, M., Bartolini, F., Cappellini, V.: Threshold selection for correlation-based watermark detection. In: Proc. COST 254 Workshop on Intelligent Communications, L’Aquila, Italy, June 4-6, pp. 67–72 (1998)
Piva, A., Barni, M., Bartolini, F., Cappellini, V.: Dct-based watermark recovering without resorting to the uncorrupted original image. In: Proc. IEEE Internat. Conf. Image processing 1997, Santa Barbara, CA, October 26-29, pp. 520–523 (1997)
Petitcolas, F.A.P.: Weakness of existing watermarking schemes (1999) http://www.cl.cam.ac.uk/fapp2/watermarking/stirmark/index.html
Kuhn, M.G., Petitcolas, F.A.P., Anderson, R.J.: Attacks on copyright marking systems. In: Aucsmith, D. (ed.) Proc. Information Hiding, Second International Workshop, Portland, Oregon, USA, April 15-17, pp. 219–239 (1998)
Petitcolas, F.A.P., Anderson, R.J.: Evaluation of copyright marking systems. In: IEEE Multimedia Systems (ICMCS 1999), Florence, Italy, June 7-11, pp. 574–579 (1999)
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De Rosa, A., Barni, M., Bartolini, F., Cappellini, V., Piva, A. (2000). Optimum Decoding of Non-additive Full Frame DFT Watermarks. In: Pfitzmann, A. (eds) Information Hiding. IH 1999. Lecture Notes in Computer Science, vol 1768. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10719724_12
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DOI: https://doi.org/10.1007/10719724_12
Publisher Name: Springer, Berlin, Heidelberg
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