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Multipurpose Image Watermarking Algorithms and Applications

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Intelligent Multimedia Data Hiding

Part of the book series: Studies in Computational Intelligence ((SCI,volume 58))

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References

  1. O’Ruanaidh, J.J.K., Dowling, W.J., and Boland, F.M. (1996): Watermarking digital images for copyright protection. IEE Proceedings - Vision, Image and Signal Processing, 143, 250-256

    Article  Google Scholar 

  2. Cox, I.J., Kilian, J., Leighton, F.T., and Shamoon, T. (1997): Secure spread spectrum watermarking for multimedia. IEEE Trans. on Image Processing, 6, 1673-1687

    Article  Google Scholar 

  3. Swanson, M.D., Zhu, B., and Tewfik, A.H. (1998): Multiresolution scene-based video watermarking using perceptual models. IEEE Journal on Selected Areas in Communications, 16, 540-550

    Article  Google Scholar 

  4. Voyatzis, G., and Pitas, I. (1999): The use of watermarks in the protection of digital multimedia products. Proceedings of the IEEE, 87, 1197-1207

    Article  Google Scholar 

  5. Pereira, S., and Pun, T. (2000): An iterative template matching algorithm using the chirp-Z transform for digital image watermarking. Pattern Recognition, 33, 173-175

    Article  Google Scholar 

  6. Wang, Y., Doherty, J.F., and Van Dyck, R.E. (2002): A wavelet-based watermarking algorithm for ownership verification of digital images. IEEE Trans. on Image Processing, 11, 77-88

    Article  Google Scholar 

  7. Barreto, P.S.L.M., Kim, H.Y., and Rijmen, V. (2002): Toward secure publickey blockwise fragile authentication watermarking. IEE Proceedings - Vision, Image and Signal Processing, 149, 57-62

    Article  Google Scholar 

  8. Celik, M.U., Sharma, G., Saber, E., and Tekalp, A.M. (2002): Hierarchical watermarking for secure image authentication with localization. IEEE Trans. on Image Processing, 11, 585-595

    Article  Google Scholar 

  9. Lee, J. and Won, C.S. (2000): A watermarking sequence using parities of error control coding for image authentication and correction. IEEE Trans. on Consumer Electronics, 46, 313-317

    Article  Google Scholar 

  10. Kundur, D. and Hatzinakos, D. (1999): Digital Watermarking for telltale tamper proofing and authentication. Proceedings of the IEEE, 87, 1167-1180

    Article  Google Scholar 

  11. Lu, C.S. and Liao, H.Y.M. (2001): Multipurpose watermarking for image authentication and protection. IEEE Trans. on Image Processing, 10, 1579-1592

    Article  MATH  Google Scholar 

  12. Lu, C.S., Liao, H.Y.M., and Chen, L.H. (2000): Multipurpose audio watermarking. Proc. 15th International Conference on Pattern Recognition, 3, 282-285

    Google Scholar 

  13. Lu, C.S., Huang, S.K., Sze, C.J., and Liao, H.Y.M. (2000): Cocktail watermarking for digital image protection. IEEE Trans. on Multimedia, 2, 209-224

    Article  Google Scholar 

  14. . Busch, C., and Wolthusen, S.D. (2001): Tracing data diffusion in industrial research with robust watermarking. Proc. 2001 IEEE Fourth Workshop on Multimedia Signal Processing, 207-212

    Google Scholar 

  15. Lu, Z.M. and Sun, S.H. (2000): Digital image watermarking technique based on vector quantisation. Electronics Letters, 36, 303-305

    Article  Google Scholar 

  16. Lu, Z.M., Pan, J.S., and Sun, S.H. (2000): VQ-based digital image watermarking method. Electronics Letters, 36, 1201-1202

    Article  Google Scholar 

  17. Lu, Z.M., Liu, C.H., and Sun, S.H. (2002): Digital image watermarking technique based on block truncation coding with vector quantization. Chinese Journal of Electronics, 11, 152-157

    Google Scholar 

  18. . Jo, M. and Kim, H. (2002): A digital image watermarking scheme based on vector quantization. IEICE Transactions on Information and Systems, E85-D, 1054-1056

    Google Scholar 

  19. Makur, A. and Selvi, S.S. (2001): Variable dimension vector quantization based image watermarking. Signal Processing, 81, 889-893

    Article  MATH  Google Scholar 

  20. . Huang, H.C., Wang, F.H., and Pan, J.S. (2002): A VQ-based robust multi-watermarking algorithm. IEICE Transactions on Fundamentals, E85-A, 1719-1726

    Google Scholar 

  21. Huang, H.C., Wang, F.H., and Pan, J.S. (2001): Efficient and robust watermarking algorithm with vector quantisation. Electronics Letters, 37, 826-828

    Article  Google Scholar 

  22. Linde, Y., Buzo, A., and Gray, R.M. (1980): An algorithm for vector quantizer design. IEEE Trans. on Communications, 28, 84-95

    Article  Google Scholar 

  23. Lu, Z.M., Pan, J.S., and Sun, S.H. (2000): Efficient codeword search algorithm based on hadamard transform. Electronics Letters, 36, 1364-1365

    Article  Google Scholar 

  24. Hu, Y.J. and Kwong, S. (2001): Wavelet domain adaptive visible watermarking. Electronics Letters, 37, 1219-1220

    Article  Google Scholar 

  25. Chen, P.M. (2000): A visible watermarking mechanism using a statistic approach. Proceedings of IEEE 5th International Conference on Signal Processing (WCCC-ICSP2000), 2, 910-913

    Google Scholar 

  26. Mohanty, S.P., Ramakrishnan, K.R., and Kankanhalli, M.S. (2000): A DCT domain visible watermarking technique for images. Proceedings of IEEE International Conference on Multimedia and Expo (ICME2000), 2, 1029-1032

    Google Scholar 

  27. . Kankanhalli, M.S., Rajmohan, and Ramakrishnan, K.R. (1999): Adaptive visible watermarking of images. Proceedings of IEEE International Conference on Multimedia Computing and Systems, 1, 568-573

    Google Scholar 

  28. Meng, J.H. and Chang, S.F. (1998): Embedding Visible Video Watermarks in the Compressed Domain. In Proceedings of IEEE International Conference on Image Processing (ICIP’98), 1, 474-477

    Google Scholar 

  29. Chen, B. and Wornell, G.W. (2001): Quantization index modulation: a class of provably good methods for digital watermarking and information embedding. IEEE Trans. on Information Theory, 47, 1423-1443

    Article  MATH  MathSciNet  Google Scholar 

  30. . Chen, B. and Wornell, G.W. (1998): Digital watermarking and information embedding using dither modulation. IEEE Second Workshop on Multimedia Signal Processing, 273-278

    Google Scholar 

  31. . Petitcolas, F.A.P., Anderson, R.J., and Kuhn, M.G. (1998): Attack on copyright marking systems. Proceedings of 2nd International Workshop on Information Hiding, 218-238

    Google Scholar 

  32. Long, F.H., Zhang, H.J., and Feng, D.D. (2003): Fundamentals of content-based image retrieval. Multimedia Information Retrieval and Management — Technological Fundamentals and Applications [Feng, D.D., Siu, W.C., and Zhang, H.J. Eds.], Springer-Verlag, Berlin Heidelberg

    Google Scholar 

  33. . Smith, J.R. (2002): Color for image retrieval. Image Databases-Search and Retrieval of Digital Imagery [Castelli, V., and Beagman L.D., eds.] John Wiley & Sons, Inc. 285-311

    Google Scholar 

  34. . Sebe, N., Lew, M.S. (2001): Texture features for content based retrieval. Principles of Visual Information Retrieval [Lew, M.S. ed.], Springer, 51-85

    Google Scholar 

  35. Lee, K.M., Street, W.N. (2002): Incremental feature weight learning and its application to a shape based query system. Pattern Recognition Letters, 23, 265-274

    Article  Google Scholar 

  36. Sciascio, E.D., Donini, F.M., and Mongiello, M. (2002): Spatial layout representation for query by sketch content-based image retrieval. Pattern Recognition Letters, 23, 1599-1612

    Article  MATH  Google Scholar 

  37. . Lew, M.S. (2001): Features selection and visual learning. Principles of Visual Information Retrieval [Lew, M.S., ed.], Springer, 297-318

    Google Scholar 

  38. . Siggelkow, S. and Burkhardt, H. (2001): Fast invariant feature extraction for image retrieval. State-of-the-Art in Content-Based Image and Video Retrieval [Veltkamp R. C., Burkhardt H., Kriegel, H. P. ed.], Kluwer Acadenic Publishers

    Google Scholar 

  39. Belkasim, S.O., Shridhar M., and Ahmadi, M. (1991): Pattern recognition with moment invariants: a comparative study. Pattern Recognition, 24, 1117-1138

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Institute for Computer Science, University of Freiburg, Georges-Koehler-Allee 052, room 01-046, 79110, Freiburg i.Br, Germany

    Zhe-Ming Lu

  2. Institute for Computer Science, University of Freiburg Georges-Koehler-Allee, 052, room 01-030, 79110, Freiburg i.Br, Germany

    Hans Burkhardt

  3. Department of Information Management Cheng-Shiu University, 840, Kaohsiung, Taiwan, R.O.C.

    Shu-Chuan Chu

Authors
  1. Zhe-Ming Lu
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  2. Hans Burkhardt
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  3. Shu-Chuan Chu
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Editor information

Editors and Affiliations

  1. Professor of Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, 415 Chien-Kung Road, 807, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Assistant Professor of Department of Electrical Engineering, National University of Kaohsiung, 700 University Road, 811, Kaohsiung, Taiwan

    Hsiang-Cheh Huang

  3. Professor of Knowledge-Based Engineering, University of South Australia, Adelaide, Mawson Lakes Campus, SA 5095, South Australia, Australia

    Lakhmi C. Jain

  4. Senior Engineer/Manager NASA's Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, 91109-8099, Pasadena, CA, USA

    Wai-Chi Fang (IEEE Fellow) (IEEE Fellow)

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Lu, ZM., Burkhardt, H., Chu, SC. (2007). Multipurpose Image Watermarking Algorithms and Applications. In: Pan, JS., Huang, HC., Jain, L.C., Fang, WC. (eds) Intelligent Multimedia Data Hiding. Studies in Computational Intelligence, vol 58. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71169-8_11

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  • DOI: https://doi.org/10.1007/978-3-540-71169-8_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71168-1

  • Online ISBN: 978-3-540-71169-8

  • eBook Packages: EngineeringEngineering (R0)

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