Fast adaptive similarity based impulsive noise reduction filter

  • Authors:

  • B. Smolka;R. Lukac;A. Chydzinski;K. N. Plataniotis;W. Wojciechowski

  • Affiliations:

  • Department of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Akademicka 16 Str, 44-101, Gliwice, Poland;The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Toronto, Ont., Canada M5S 3G4;Department of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Akademicka 16 Str, 44-101, Gliwice, Poland;The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Toronto, Ont., Canada M5S 3G4;The Institute of Theoretical and Applied Informatics of the Polish Academy of Sciences, Baltycka Str. 5, 44-100, Gliwice, Poland

  • Venue:
  • Real-Time Imaging - Special issue on spectral imaging
  • Year:
  • 2003

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Abstract

In this paper, we address the problem of impulsive noise reduction in multichannel images. A new class of filters for noise attenuation is introduced and its relationship with commonly used filtering techniques is investigated. The computational complexity of the new filter is lower than that of the vector median filter (VMF). Extensive simulation experiments indicate that the new filter outperforms the VMF, as well as other techniques currently used to eliminate impulsive noise in color images.