ROTATION INVARIANT FEATURE EXTRACTION FOR WATERMARKING

M. Scagliola, P. Guccione

2008

Abstract

Many watermarks for still images are robust against common signal processing techniques, mainly JPEG compression, noise adding and low-pass filtering, while they are sensitive to geometrical manipulations, that yield desynchronization errors. In this paper robustness against some geometric transformations is achieved using a feature extraction method based on the Radon transform and whose aim is to identify an unique (and robust) feature from the image spectrum. The embedding, which exploits the extracted feature, is based on a multiplicative rule technique and is applied on a suitable subset of the image Fourier transform. The properties of the extracted feature allows to resynchronize the detector and the embedded watermark even if the image undergoes geometric manipulations (in particular rotations) as well as other processings, so that the correct watermark retrieving is guaranteed. Experimental results, lead on many standard images, confirm the effectiveness of the feature extraction method and the robustness of the watermark against both processing and geometric transformations.

References

  1. Barni, M., Bartolini, F., Cappellini, V., and Piva, A. (1998). A dct-domain system for robust image watermarking. Signal Process., 66(3):357-372.
  2. Bas, P., Chassery, J.-M., and Macq, B. M. (2000). Robust watermarking based on the warping of predefined triangular patterns. In Proc. SPIE Vol. 3971, Security and Watermarking of Multimedia Contents II, pages 99-109.
  3. Gonzalez, R. C. and Woods, R. E. (2002). Digital image processing. Prentice Hall.
  4. Jafari-Khouzani, K. and Soltanian-Zadeh, H. (June 2005). Rotation-invariant multiresolution texture analysis using radon and wavelet transforms. Image Processing, IEEE Transactions on, 14(6):783-795.
  5. Lee, J., Haralick, R., and L.G., S. (1987). Morphological edge detector. Robotics and Automation, IEEE Transactions on, 3(2):142-153.
  6. Licks, V. and Jordan, R. (July-Sept. 2005). Geometric attacks on image watermarking systems. Multimedia, IEEE, 12(3):68-78.
  7. Lin, C.-Y., Wu, M., Bloom, J., Cox, I., Miller, M., and Lui, Y. (May 2001). Rotation, scale, and translation resilient watermarking for images. Image Processing, IEEE Transactions on, 10(5):767-782.
  8. O Ruanaidh, J. J. and Pun, T. (1998). Rotation, scale and translation invariant spread spectrum digital image watermarking. Signal Process., 66(3):303-317.
  9. Simitopoulos, D., Koutsonanos, D., and Strintzis, M. (2002). Image watermarking resistant to geometric attacks using generalized radon transformations. Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on, 1:85-88 vol.1.
  10. Stone, H.S. and Tao, B. and McGuire, M. (1998). Analysis of image registration noise due to rotationally dependent aliasing. Technical Report TR 98-018, Nec Research Institute Tech. Rep.
  11. Toft, P. (1996). The Radon Tranform - Theory and Implementation. PhD thesis, Department of Mathematical Modelling, Technical University od Denmark.
  12. Xin, Y., Liao, S., and Pawlak, M. (2-5 May 2004). Geometrically robust image watermarking via pseudozernike moments. Electrical and Computer Engineering, 2004. Canadian Conference on, 2:939-942 Vol.2.
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Paper Citation


in Harvard Style

Scagliola M. and Guccione P. (2008). ROTATION INVARIANT FEATURE EXTRACTION FOR WATERMARKING . In Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2008) ISBN 978-989-8111-60-9, pages 229-235. DOI: 10.5220/0001931502290235


in Bibtex Style

@conference{sigmap08,
author={M. Scagliola and P. Guccione},
title={ROTATION INVARIANT FEATURE EXTRACTION FOR WATERMARKING},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2008)},
year={2008},
pages={229-235},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001931502290235},
isbn={978-989-8111-60-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2008)
TI - ROTATION INVARIANT FEATURE EXTRACTION FOR WATERMARKING
SN - 978-989-8111-60-9
AU - Scagliola M.
AU - Guccione P.
PY - 2008
SP - 229
EP - 235
DO - 10.5220/0001931502290235