Abstract
A new informed image watermarking technique is proposed incorporating perceptual factors into dirty paper coding. Due to the equi-energetic nature of the adopted codewords and to the use of a correlation-based decoder, invariance to constant value-metric scaling (gain attack) is automatically achieved. By exploiting the simple structure of orthogonal and Gold codes, an optimal informed embedding technique is developed, permitting to maximize the watermark robustness while keeping the embedding distortion constant. The maximum admissible distortion level is computed on a block by block basis, by using Watson’s model of the Human Visual System (HVS). The performance of the watermarking algorithm are improved by concatenating dirty paper coding with a turbo coding (decoding) step. The validity of the assumptions underlying the theoretical analysis is evaluated by means of numerical simulations. Experimental results confirm the effectiveness of the proposed approach.
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References
Eggers, J.J., Girod, B.: Informed Watermarking. Kluwer Academic Publishers, Dordrecht (2002)
El Gamal, A., Cover, T.M.: Multiple user information theory. Proceedings of the IEEE 68, 1466–1485 (1980)
Cover, T.M., Thomas, J.A.: Elements of Information Theory. Wiley, New York (1991)
Chen, B., Wornell, G.: Quantization index modulation: a class of provably good methods for digital watermarking and information embedding. IEEE Trans. on Information Theory 47, 1423–1443 (2001)
Eggers, J.J., Bäuml, R., Tzschoppe, R., Girod, B.: Scalar Costa scheme for information embedding. IEEE Trans. on Signal Processing 4 (2003)
Perez-Gonzalez, F., Balado, F., Hernandez, J.R.: Performance analysis of existing and new methods for data hiding with known-host information in additive channels. IEEE Trans. on Signal Processing 51, 960–980 (2003)
Chou, J., Ramchandran, K.: Robust turbo-based data hiding for image and video sources. In: Proc. 9th IEEE Int. Conf. on Image Processing, ICIP 2002, vol. 2, Rochester, NY, USA, pp. 133–136 (2002)
Miller, M.L., Doerr, G.J., Cox, I.J.: Dirty-paper trellis codes for watermarking. In: Proc. 9th IEEE Int. Conf. on Image Processing, ICIP 2002, Vol. II, Rochester, NY, pp. 129–132 (2002)
Miller, M.L., Doerr, G.J., Cox, I.J.: Applying informed coding and embedding to design a robust, high capacity, watermark. IEEE Trans. on Image Processing 13, 792–807 (2004)
Abrardo, A., Barni, M.: Orthogonal dirty paper coding for informed watermarking. In: Wong, P.W., Delp, E.J. (eds.) Security, Steganography, and Watermarking of Multimedia Contents VI, Proc. SPIE, San Jose, CA, USA, vol. 5306 (2004)
Watson, A.B.: DCT quantization matrices visually optimized for individual images. In: Allebach, J.P., Rogowitz, B.E. (eds.) Human Vision, Visual Processing, and Digital Display, Proc. SPIE, San Jose, CA, vol. 1913, pp. 202–216 (1993)
Cox, I.J., Miller, M.L., Bloom, J.A.: Digital Watermarking. Morgan Kaufmann, San Francisco (2001)
Proakis, J.G.: Digital Communications, 2nd edn. McGraw-Hill, New York (1989)
Forsythe, G.E., Malcolm, M.A., Moler, C.B.: Computer Methods for Mathematical Computations. Prentice Hall, Englewood Cliffs (1976)
Gold, R.: Optimal binary sequences for spread spectrum multiplexing. IEEE Trans. on Information Theory 13, 619–621 (1967)
Berrou, C., Glavieux, A., Thitimajshima, P.: Near shannon limit error-correcting coding and decoding: Turbo-codes. In: Proceedings of ICC, IEEE International Conference on Communications, Geneva, Switzerland, pp. 1064–1070 (1993)
Conway, J.H., Sloane, N.J.A.: Sphere Packings, Lattices, and Groups. Springer, New York (1988)
Hamkins, J., Zeger, K.: Asymptotically dense spherical codes - part I: wrapped spherical codes. IEEE Trans. on Information Theory 43, 1774–1785 (1997)
Hamkins, J., Zeger, K.: Asymptotically dense spherical codes - part II: laminated spherical codes. IEEE Trans. on Information Theory 43, 1786–1798 (1997)
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Abrardo, A., Barni, M. (2004). Fixed-Distortion Orthogonal Dirty Paper Coding for Perceptual Still Image Watermarking. In: Fridrich, J. (eds) Information Hiding. IH 2004. Lecture Notes in Computer Science, vol 3200. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30114-1_5
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DOI: https://doi.org/10.1007/978-3-540-30114-1_5
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