| The main blind deconvolution algorithm used here for restoration
of SXT data and PSF is described in (Ayers, Dainty, 1988). Before
the deconvolution process can be run, an initial approximation of the PSF
p0and
SXT data d need
to be prepared. Initial PSF p0
is constructed by Steepest Descent Method. Data d
must decompressed background substracted and converted to photon counts.
Both d and p0 are expected to be positive. PSF initial approximation is also reguired to be normalized to unit integral. Then, the followings steps are iteratively repeated: 1) Take the Fourier transform
P1of
p1
(at the first iteration p1
= p0 )
Before the step 6 is performed above, additional
averaging of Fourier transforms of image I1
and I2
is made.
|