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Application of Independent Component Analysis to Edge Detection and Watermarking

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Artificial Neural Nets Problem Solving Methods (IWANN 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2687))

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Abstract

This paper addresses the application of ICA to digital image processing. First of all, it is shown that edge detection can be obtained by reconstructing an image from its dominant ICA features. Using this result, an ICA-based watermarking method is proposed. Simulations show that the watermarks are robust against compression and gaussian noise.

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References

  1. H. Barlow, “Sensory Communication”, in Possible Principles Underlying the Transformation of Sensory Messages, pp. 217–234, MIT Press, 1961.

    Google Scholar 

  2. A. Bell and T. Sejnowski, “The Independent Component of Natural Images are Edge Filters”, in Vision Research, vol. 37(23), pp. 3327–3338, 1995.

    Article  Google Scholar 

  3. X. Cao and R. Liu, “General Approach to Blind Source Separation”, in IEEE Transactions on Signal Processing, vol. 44, no. 3, pp. 562–571, 1996.

    Article  Google Scholar 

  4. A. Cichocki and S. I. Amari, “Adaptive Blind Signal and Image Processing”, John Willey and Sons, 2002.

    Google Scholar 

  5. I. Daubechies, “Ten Lectures on Wavelets”, SIAM, 1992.

    Google Scholar 

  6. F. Field, “What is the Goal of Sensory Coding ?”, in Neural Computation, vol. 6, pp. 559–601, 1994.

    Article  Google Scholar 

  7. R. C. González and R. E. Woods, “Digital Image Processing”, Addison-Wesley, 1992.

    Google Scholar 

  8. F. Hartung and M. Kutter, “Multimedia Watermarking Technique”, in Proceedings of the IEEE, vol. 87(7), pp. 1079–1107, 1999.

    Google Scholar 

  9. J. Hurri, Hyvärinen and E. Oja, “Wavelets and Natural Image Statistics”, in Proc. Scandinavian Conference on Image Analysis’97, Lappeenranta, Finland, vol. 7, 1997.

    Google Scholar 

  10. A. Hyvärinen and E. Oja, “A Fast Fixed-Point Algorithm for Independent Component Analysis”, in Neural Computation, vol. 6, pp. 1484–1492, 1997.

    Google Scholar 

  11. A. Hyvärinen, J. Karhunen and E. Oja, “Independent Component Analysis”, John Willey and Sons, 2001.

    Google Scholar 

  12. F. A. P. Petitcolas and R. J. Anderson, “Evaluation of Copyright Marking Systems’, in Proceedings of IEEE Multimedia Systems, vol. 1, pp. 574–579, 1999.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Área de Teoría de la Señal y Comunicaciones, Universidad de Sevilla, Spain

    Susana Hornillo-Mellado, Rubén Martín-Clemente & José I. Acha

  2. Dpto. de Arquitectura y Tecnología de Computadores, Universidad de Granada, Spain

    Carlos G. Puntonet

Authors
  1. Susana Hornillo-Mellado
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  2. Rubén Martín-Clemente
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  3. José I. Acha
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  4. Carlos G. Puntonet
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Editor information

Editors and Affiliations

  1. E.T.S. de Ingeniería Informática Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Juan del Rosal, 16, 28040, Madrid, Spain

    José Mira  & José R. Álvarez  & 

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© 2003 Springer-Verlag Berlin Heidelberg

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Hornillo-Mellado, S., Martín-Clemente, R., Acha, J.I., Puntonet, C.G. (2003). Application of Independent Component Analysis to Edge Detection and Watermarking. In: Mira, J., Álvarez, J.R. (eds) Artificial Neural Nets Problem Solving Methods. IWANN 2003. Lecture Notes in Computer Science, vol 2687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44869-1_35

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  • DOI: https://doi.org/10.1007/3-540-44869-1_35

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40211-4

  • Online ISBN: 978-3-540-44869-3

  • eBook Packages: Springer Book Archive

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