Geometrically Robust Digital Image Watermarking Using Scale Normalisation and Flowline Curvature
Woo, Chaw-Seng, Du, Jiang, & Pham, Binh L. (2005) Geometrically Robust Digital Image Watermarking Using Scale Normalisation and Flowline Curvature. In Delp III, Edward, Wong, Ping, & Wendelborn, Andrew (Eds.) Security, Steganography and Watermarking of Multimedia Contents (SPIE2005), 16-20 January 2005, USA, California, San Jose.
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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|Item Type:||Conference Paper|
|Keywords:||robust watermark, geometric invariant, scale normalisation, flowline curvature, feature point|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Computer Software not elsewhere classified (080399)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Copyright Owner:||Copyright 2005 SPIE|
|Copyright Statement:||Reproduced in accordance with the copyright policy of the publisher.|
|Deposited On:||01 Dec 2005 00:00|
|Last Modified:||09 Jun 2010 12:28|
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