Geometrically Robust Digital Image Watermarking Using Scale Normalisation and Flowline Curvature
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REFERENCES 1. L. Cheveau, E. Goray, and R. Salmon, “Watermarking - Summary Results of EBU Tests", March 2001, online at http://www.ebu.ch/trev_286-cheveau.pdf?display=EN 2. J. J. K. O'Ruanaidh, and T. Pun, “Rotation, Translation and Scale Invariant Spread Spectrum Digital Image Watermarking", Signal Processing, 66(3), pp.303-318, 1998. 3. J. F. Lichtenauer, Geometrical Distortion Correction Methods for Blind Watermark Detection: A state of the art survey 4. M. Kutter, S. K. Bhattacharjee, and T. Ebrahimi, "Towards Second Generation Watermarking Schemes", Proc. International Conference on Image Processing 1999, Kobe, 1, pp.320 – 323, 1999. 5. P. Bas, J.-M. Chassery, and B. Macq, “Geometrically Invariant Watermarking Using Feature Points". IEEE Transactions on Image Processing, 11(9), pp.1014-1028, 2002. 6. P. Bas, J.-M. Chassery, and B. Macq, “Image Watermarking: an Evolution to Content Based Approaches", Pattern Recognition, 35(3), pp.545-561, 2002 7. M. Alghoniemy and A. H. Tewfik, “Geometric Distortion Correction through Image Normalization", Proc. IEEE International Conference on Multimedia and Expo (ICME 2000), New York, USA, 3, pp.1291–1294, 2000. 8. C.Harris and M.Stephen, “A Combined Corner and Edge Detector", Proc. Alvey Vision Conference, Manchester, U.K., pp.147-151, 1988. 9. D. Simitopoulos, D. E. Koutsonanos, and M. G. Strintzis, "Robust image watermarking based on generalized Radon transformations", IEEE Transactions on Circuits and Systems for Video Technology, 13(8), pp. 732-745, 2003. 10. S. S. Ravela, on Multi-Scale Differential Features and their Representations for Image Retrieval and Recognition, Ph.D. Thesis, University Of Massachusetts, Amherst, 2003. 11. I. J.Cox, J. Kiliany, T. Leightonz, and T. Shamoony, "Secure Spread Spectrum Watermarking for Multimedia", IEEE Trans. on Image Processing, 6(12), pp.1673-1687, 1997. 12. G. C. Langelaar, Real-time Watermarking Techniques for Compressed Video Data, Thesis, Delft University of Technology, Veenendaal, 2000. 13. S. Voloshynovskiy, S. Pereira, V. Iquise, and T. Pun, “Attack Modelling: Towards a Second Generation Watermarking Benchmark", Signal Processing - Special Issue on Information Theoretic Issues in Digital Watermarking, pp. 1177-1214, 2001. 14. A. Watson, G. Yang, J. Solomon, and J. Villasenor, “Visibility of Wavelet Quantization Noise", IEEE Transactions. on Image Processing, 6(8), pp. 1164-1175, 1997.
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ID Code: | 2756 |
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Item Type: | Chapter in Book, Report or Conference volume (Conference contribution) |
Measurements or Duration: | 11 pages |
Keywords: | Feature point, Flowline curvature, Geometric invariant, Robust watermark, Scale normalisation |
DOI: | 10.1117/12.586455 |
ISBN: | 0-8194-5654-3 |
Pure ID: | 34250182 |
Divisions: | ?? 16 ?? Past > Schools > School of Software Engineering & Data Communications Past > Institutes > Information Security Institute |
Copyright Owner: | Consult author(s) regarding copyright matters |
Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au |
Deposited On: | 01 Dec 2005 00:00 |
Last Modified: | 03 Mar 2024 11:50 |
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