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)


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.


Spectral Image Mathematical Morphology Impulsive Noise Noise Type Spectral Channel 
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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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