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HOMOGENEITY-BASED DIRECTIONAL SIGMA FILTERING OF VIDEO Mohammed Ghazal, Aishy Amer and Ali Ghrayeb
 

Summary: HOMOGENEITY-BASED DIRECTIONAL SIGMA FILTERING OF VIDEO
NOISE
Mohammed Ghazal, Aishy Amer and Ali Ghrayeb
Electrical and Computer Engineering, Concordia University
MontrŽeal, QuŽebec, Canada
{moha mo,amer,aghrayeb}@ece.concordia.ca
ABSTRACT
This paper proposes a real-time method for the re-
duction of white Gaussian video noise. The method
achieves a maximum gain of 4.8 dB and is capable
of preserving image content. It adapts window size,
weighting and behavior to both image content and noise
level in order to optimize the filtering. It starts by
detecting the intensity-homogeneous direction from 8
different candidates. A variant of the Sigma filter is
then applied directionally. The filtering is performed
along homogeneous areas and not across edges. For
noisy images, the filtering is increased automatically
by using the two most homogeneous directions with a
larger kernel size. The proposed filter achieves bet-

  

Source: Amer, Aishy - Department of Electrical and Computer Engineering, Concordia University

 

Collections: Engineering