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Weighted Thin-Plate Spline Image Denoising

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Computer Analysis of Images and Patterns (CAIP 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2756))

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Abstract

This paper aims to present new denoising method based on thin-plate splines (TPS). The proposed approach is based on the general TPS denoising [1], however, its unfavorable smoothing of edges and details is suppressed by introduction of a weighting approach applied locally. The performance of the method is shown and compared to the original TPS denoising. The application of the method for denoising of infrared images of old paintings is presented.

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References

  1. Berman, M.: Automated Smoothing of Image and Other Regularly Spaced Data. IEEE Trans. on Pattern Analysis and Machine Intelligence 16, 460–468 (1994)

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  2. Sonka, M., Hlavac, V., Boyle, R.: Image Processing, Understanding, and Machine Vision, 2nd edn. PWS Boston (1999)

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  5. Bookstein, F.L.: Principal Warps: Thin-Plate Splines and the Decomposition of Deformations. IEEE Trans. on Pattern Analysis and Machine Intelligence 11, 567–585 (1989)

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  6. Kašpar, R.: Reducing Noise in IR Images, Master’s Thesis, Faculty of Mathematics and Physics, Charles University in Prague (2002)

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Author information

Authors and Affiliations

  1. Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Pod vodárenskou věží 4, 182 08, Prague 8, Czech Republic

    Roman Kašpar & Barbara Zitová

Authors
  1. Roman Kašpar
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  2. Barbara Zitová
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Editor information

Editors and Affiliations

  1. Institute of Mathematics and Computing Science, University of Groningen, P.O.Box 800, 9700 AV, Groningen, The Netherlands

    Nicolai Petkov

  2. Institute of Mathematics and Computing Science, University of Groningen, Blauwborgje 3, 9747 AC, Groningen, The Netherlands

    Michel A. Westenberg

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© 2003 Springer-Verlag Berlin Heidelberg

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Kašpar, R., Zitová, B. (2003). Weighted Thin-Plate Spline Image Denoising. In: Petkov, N., Westenberg, M.A. (eds) Computer Analysis of Images and Patterns. CAIP 2003. Lecture Notes in Computer Science, vol 2756. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45179-2_89

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  • DOI: https://doi.org/10.1007/978-3-540-45179-2_89

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40730-0

  • Online ISBN: 978-3-540-45179-2

  • eBook Packages: Springer Book Archive

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