Image de-noising using a fast non-local averaging algorithm

  • Authors:

  • Radu Ciprian Bilcu;Markku Vehvilainen

  • Affiliations:

  • Multimedia Technologies Laboratory, Nokia Research Center, Tampere, Finland;Multimedia Technologies Laboratory, Nokia Research Center, Tampere, Finland

  • Venue:
  • ICS'06 Proceedings of the 10th WSEAS international conference on Systems
  • Year:
  • 2006

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Abstract

Recently the non local (NL) means algorithm was introduced in order to suppress additive Gaussian noise in images. Although its very good performances for Gaussian noise, the NL-means method has two disadvantages. Its computational complexity is very large and the impulse rejection is poor. In this paper, we propose a simplified version of the NL-means algorithm with a much smaller computational complexity and better behavior in mixed (Gaussian and impulsive) noise. Experimental results obtained with our proposed method and several other algorithms are also presented.