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Noise Reduction with Edge Preservation by Multiscale Analysis of Medical X-Ray Image Sequences

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Book cover Bildverarbeitung für die Medizin 2005

Part of the book series: Informatik aktuell ((INFORMAT))

Abstract

Real-time visualization of digital X-ray image sequences requires the reduction of severe noise while preserving diagnostic details. We introduce a noise reduction method for X-ray image sequences using products of Laplacian pyramid coefficients. The method features SNR improvement comparable to the Wiener filter, however, being superior in the preservation of fine structures and generating a more stable image impression in sequences.

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References

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Author information

Authors and Affiliations

  1. Vision Systems, TU Hamburg-Harburg, D-21079, Hamburg

    Marc Hensel, Ulf Brummund & Rolf-Rainer Grigat

  2. General X-Ray, Philips Medical Systems, D-22335, Hamburg

    Thomas Pralow

Authors
  1. Marc Hensel
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  2. Ulf Brummund
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  3. Thomas Pralow
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  4. Rolf-Rainer Grigat
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Editor information

Editors and Affiliations

  1. Abteilung für Medizinische und Biologische Informatik / H0100, Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 280, 69120, Heidelberg

    Hans-Peter Meinzer

  2. Universitätsklinikum Hamburg-Eppendorf, Universität Hamburg, Martinistraße 52, 20246, Hamburg

    Heinz Handels

  3. Klinikum rechts der Isar Institut für Medizinische Statistik und Epidemiologie, Technische Universität München, Ismaninger Straße 22, 81675, München

    Alexander Horsch

  4. Institut für Medizinische Informatik, Biometrie und Epidemiologie, Charité — Universitätsmedizin Berlin, Campus Benjamin Franklin, Hindenburgdamm 30, 12200, Berlin

    Thomas Tolxdorff

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© 2005 Springer-Verlag Berlin Heidelberg

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Hensel, M., Brummund, U., Pralow, T., Grigat, RR. (2005). Noise Reduction with Edge Preservation by Multiscale Analysis of Medical X-Ray Image Sequences. In: Meinzer, HP., Handels, H., Horsch, A., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2005. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26431-0_12

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