WIAS Preprint No. 1412, (2009)

Structural adaptive smoothing: Principles and applications in imaging



Authors

  • Polzehl, Jörg
    ORCID: 0000-0001-7471-2658
  • Tabelow, Karsten
    ORCID: 0000-0003-1274-9951

2010 Mathematics Subject Classification

  • 68U10 92C55 62G08

Keywords

  • Image Enhancement, Functional Magnetic Resonance Imaging, Diffusion Tensor Imaging, Structural Adaptive Smoothing

Abstract

Structural adaptive smoothing provides a new concept of edge-preserving non-parametric smoothing methods. In imaging it employs qualitative assumption on the underlying homogeneity structure of the image. The chapter describes the main principles of the approach and discusses applications ranging from image denoising to the analysis of functional and diffusion weighted Magnetic Resonance experiments.

Appeared in

  • P. Jörg, T. Karsten, Structural adaptive smoothing: principles and applications in imaging, F. L., D. R., J. G., L. M. - C. van, D. L., eds., vol. 41 of Computational imaging and vision, Springer, London, 2012, pp. 65--81

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