Abstract
This paper presents an additive watermarking technique for grey scale pictures, which can be extended to video sequences. It consists of embedding secretly a copyright information (a binary code) in the picture without degrading its quality. Those bits are encoded through the phase of Maximal Length Sequences (MLS). MLS are sequences having good correlation properties, which means that the result of the autocorrelation is far greater than crosscorrelations. i.e. correlations made with shifted version of this sequence. This embedding is performed line by line going from the top to the bottom of the picture as the objective was to implement a low cost and real time embedding method able to work for common video equipments. The very embedding process is underlain by a masking criterion that guarantees the invisibility of the watermark. This perceptive criterion, deduced from physiological and psychophysic studies, has already proved its efficiency [DDVB96]. It is combined with an edge and texture discrimination to determine the embedding level of the MLS, whose bits are actually spread over 32 by 8 pixel squares. Eventually, some preliminary results are presented, which analyze the efficacy of the decoding as well as the resistance of the watermark towards compression and robustness against malevolent treatments.
Research of C. De Vleeschouwer is supported by a grant of the Belgian F.N.R.S. — Alcatel Bell.
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References
W. Bender, D. Gruhl. and N. Moromoto. Techniques for data hiding. Proceedings of the SPIE, san Jose, 2420(40). February 1995.
O. Bruyndonckx, J.J. Quisquater, and B. Macq. Spatial method for copyright labelling of digital images. Proceedings of IEEE Workshop on Non-Linear Processing, Thessaloniki, pages 456–459, June 1995.
J.T. Brassil, N.F. Maxemchuk S. Low, and L. O'Gorman. Electronic marking and identification techniques to discourage document copying. Proceedings of IEEE INFOCOM'94, Toronto, pages 1278–1287, June 1994.
G. Caronni. Assuring ownership rights for digital images. Proceeding of reliable IT systems. VIS 95, Germany, June 1995.
I.J. Cox, J. Kilian, T. Leighton, and T. Shamoon. Spread spectrum watermarking for multimedia. Proceedings of the SPIE, San Jose, 2420:456–459, February 1995.
S. Comes. Les traitements perceptifs d'images numérisées. PhD thesis, Université catholique de Louvain, June 1995.
J.F. Delaigle, C. De Vleeschouwer, and Macq B. Digital Watermarking. In Conference 2659 — Optical Security and Counterfeit Deterrence Techniques, San Jose, February 1996. SPIE Electronic Imaging: science and technology. pp. 99–110.
R.M. Haralick, S.R. Sternberg, and X. Zhuang. Image Analysis Using Mathematical Morphology. IEEE Transactions on Pattern Analysis and Machine Intelligence, 9(4):532–550, July 1987.
B. Kahin. The Strategic Environment for Protecting Multimedia. ima intellectual property project proceedings. volume 1, pages 1–8, January 1994.
E. Koch and J. Zaho. Towards robust and hidden image copyright labeling. Proceedings of IEEE Workshop on Non-Linear Processing, Thessaloniki, pages 452–455, June 1995.
B. Macq and J.J. Quisquater. Digital images multiresolution encryption. The journal of the Interactive Multimedia Association Intellectual Property Project, 1:187–206, January 1994.
K. Matsui and K. Tanaka. Video-stenography: How to embed a signature in a picture. IMA Intellectual Property Proceedings. 1(1):187–205, January 1994.
A.N. Netraveli and B.G. Haskell. Visual Psychophysics. In Digital Picture: Representation and Compression, chapter 3. Plenum Press, New-York, 1988.
Ray H. Pettit. Codes for Spread Spectrum. In ECM and ECCM Techniques for Digital Communication Systems, chapter 3, pages 37–60. Lifetime Learning Publications, Belmont California.
M. Purser. Introduction to Error Correcting Codes. Artech House, Boston-London, 1995. ISBN 0-89006-784-8.
D.V. Sarwate and Pursley M.B. Crosscorrelation Properties of Pseudorandom and Related Sequences. Proceedings of the IEEE, 68(5):593–617, May 1980.
S. Venkatesh and R. Owens. Implementation Details of a Feature Detection Algorithm. Technical Report 89/12. Department of Computer Science, University of Western Australia, 1989.
H.R. Wilson, D.K. McFarlane, and G.C. Phillips. Spatial Frequency Tuning of Orientation Selective Units Estimated by Oblique Masking. Vision Research, 23(9):873–847, 1983.
John Wiley, L.A. Olzak, and J.P. Thomas. Handbook of perception and human performance. Volume 1: Sensory processes and perception. Chapter 7: Seeing spatial patterns. University of California, Los Angeles, California, 1986.
H.R. Wilson and G.C. Phillips. Orientation Bandwiths of Spatial Mechanisms Measured by Masking. J. Opt. Soc. Am. A, 1(2):226–232. February 1984.
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© 1997 Springer-Verlag Berlin Heidelberg
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Delaigle, J.F., De Vleeschouwer, C., Goffin, F., Macq, B., Quisquater, J.J. (1997). Low cost watermarking based on a human visual model. In: Fdida, S., Morganti, M. (eds) Multimedia Applications, Services and Techniques — ECMAST '97. ECMAST 1997. Lecture Notes in Computer Science, vol 1242. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0037350
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DOI: https://doi.org/10.1007/BFb0037350
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