Soft Morphological Filtering of Spectral Images

  • Sami Lakaniemi
  • Pekka Toivanen
  • Ville Kyrki
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

Abstract

In this study, noise reduction methods for spectral images using soft morphological filters are presented. Three methods are introduced: filtering individual pixels in the direction of their spectra, two-dimensional componentwise filtering, and three-dimensional cubic filtering. The research involved removing impulsive noise, particularly salt and pepper and bit error noise. Filter performance was measured both quantitatively using mean absolute error, mean square error and signal-to-noise ratio and visually by observing individual spectral channels and individual spectra of filtered images. The best results were achieved using componentwise filtering according to both numerical and visual criteria.

Keywords

Spectral Image Mathematical Morphology Impulsive Noise Noise Type Spectral Channel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    J. Astola and P. Kuosmanen. Fundamentals of Nonlinear Digital Filtering. CRC Press, 1997. ISBN 0-8493-2570-6.Google Scholar
  2. 2.
    A. Bovik, editor. Handbook of Image and Video Processing. Academic Press, San Diego, CA, 2000. ISBN 0-12-119790-5.Google Scholar
  3. 3.
    P. Kuosmanen, L. Koskinen, and J. Astola. Detail preserving morphological filtering. In 11th IAPR International Conference on Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., pages 236–239, 1992.Google Scholar
  4. 4.
    P. Kuosmanen, L. Koskinen, and J. Astola. The connection between generalized soft morphological operations and stack filters. In IEEE Winter Workshop on Nonlinear Digital Signal Processing, pages 1.1.2.1–1.1.2.6, 1993.Google Scholar
  5. 5.
    D. B. Lòpez, F. H. Mendoza, and J. M. Ramirez. Noise in color digital images. In 1998 Midwest Symposium on Circuits and Systems, pages 403–406, August 1999. ISBN: 0-8186-8914-5.Google Scholar
  6. 6.
    J. Serra. Image Analysis and Mathematical Morphology. Academic Press, 1982. ISBN 0-12-637240-3.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Sami Lakaniemi
    • 1
  • Pekka Toivanen
    • 1
  • Ville Kyrki
    • 1
  1. 1.Department of Information TechnologyLappeenranta University of TechnologyLappeenrantaFinland

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