Abstract.
The article offers a fundamentally new approach to solving the problems
of reconstructing distorted images. If traditionally researchers try to reconstruct an unknown
Point
Spread Function (PSF) by some methods or, with iterative
approaches, to make initial assumption about the form of PSF, then we rely on
the General-purpose reference
spectrum (GRS), i.e. on the knowledge of what, on average, there should
be an amplitude spatial spectrum of an undistorted image. If the amplitude
spectrum of the PSF distortion is alternating, then the use of the method of renormalization limitedthe (MRL)
with classical GRS does not
lead to a successful reconstruction. In connection with this, it is proposed to carry out the
adaptation procedure for the GRS and to supply it with the automatic
registration of the sign. As a result of such a methodology, a model of the
normalized image of the adaptive General-purpose
reference spectrum (AGRS)
is proposed. Note that there is an automatic change in the form of the General-purpose reference spectrum,
and not a reconstruction of the Point Spread Function. Thus, the
modifications and adaptations of the GRS
proposed in our work, depending on the specific task, increase the efficiency
of the procedures for reconstructing the distorted images and can be done automatically.
Key words:
blind
deconvolution, general-purpose reference spectrum, the method of renormalization
limited.
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