Abstract:
The images subjected to additive space-invariant distortions are considered.
The problem of their restoration can be reduced to solving a convolution-type
integral equation. This equation is solved by regularization algorithms used
for ill-posed problems. A method based on Tikhonov's functional minimization
is discussed. Its computer implementation and several numerical examples are
described for the case of image restoration.