PROCEEDINGS IPMU '08
A Vector Based Fuzzy Filter for Colour Image Sequences
Tom Mélange, Mike Nachtegael and Etienne E. Kerre
This paper introduces a new vector
based filter for the removal of additive
gaussian noise in colour image
sequences. The proposed method
consists of two subfilters of which
the first is a colour extension of
our previously presented fuzzy logic
based motion and detail adaptive filter
(FMDAF) for greyscale image sequences.
The additional second subfilter
is a 3D adaptation of the colour
restorating subfilter from a recent
fuzzy noise reduction method for
colour images. Experimental results
show that in terms of average PSNR
and NCD, the proposed colour extension
outperforms the usual colour
extension in which the Y component
in the YUV transform is filtered
with the original greyscale method.
However, better objective measures
need to be found for correspondence
to visual observations.
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