Denoising
of images should be carried out when the quality of observed visual data
is not sufficient for next image processing stages. Known techniques
are either
very complex, parameterized, use nontractable models and computationally
extensive or. Therefore it is necessary to develop methods
that
are able
to overcome these drawbacks.
In the scope
of diploma project, a successful candidate will help us to implement denoising
technique based on the nonstationary stochastic image
model based
on existing Matlab code. It will be necessary to develop and to integrate
denoising software into the existing interface which allows to easily
link dll's
and supports more then 20 graphical formats.
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