Weighted Thin-Plate Spline Image Denoising

  • Roman Kašpar
  • Barbara Zitová
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2756)


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.


Infrared Image Central Pixel Noise Removal Image Denoising Denoising Method 
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  1. 1.
    Berman, M.: Automated Smoothing of Image and Other Regularly Spaced Data. IEEE Trans. on Pattern Analysis and Machine Intelligence 16, 460–468 (1994)CrossRefGoogle Scholar
  2. 2.
    Sonka, M., Hlavac, V., Boyle, R.: Image Processing, Understanding, and Machine Vision, 2nd edn. PWS Boston (1999)Google Scholar
  3. 3.
    Donoho, D.L.: De-noising by soft tresholding. IEEE Transactions on Information Theory 41(3), 613–627 (1995)zbMATHCrossRefMathSciNetGoogle Scholar
  4. 4.
    Rudin, L.I., Osher, S., Fatemi, E.: Nonlinear Total Variation Based Noise Removal Algorithms. Phisica D 60, 259–268 (1992)zbMATHCrossRefGoogle Scholar
  5. 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)zbMATHCrossRefGoogle Scholar
  6. 6.
    Kašpar, R.: Reducing Noise in IR Images, Master’s Thesis, Faculty of Mathematics and Physics, Charles University in Prague (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Roman Kašpar
    • 1
  • Barbara Zitová
    • 1
  1. 1.Institute of Information Theory and AutomationAcademy of Sciences of the Czech RepublicPrague 8Czech Republic

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