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

Summary: HOMOGENEITY-BASED DIRECTIONAL WIENER 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 method for the reduction of white
Gaussian video noise. The method achieves a maximum gain
of 5.6 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 differ-
ent candidates. A variant of the Wiener 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 a larger kernel size. The
proposed filter achieves better image preservation by turning
off gradually for less noisy images. It works well for both
highly noisy and good-quality images.
1. INTRODUCTION

  

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

 

Collections: Engineering