  A range of nonlinear image reconstruction procedures based on extremizing the
generalized Shannon entropy, Kullback-Leibler cross-entropy and Renyi
information measures and proposed by the author in early papers is presented.
The ``generalization'' assumes search for the solution over the space of real
bipolar or complex functions. Such an approach allows, first, to reconstruct
signals of any type and physical nature and, secondly, to decrease nonlinear
intensity image distortions caused by measurement errors. All the elaborated
procedures are contained in VLBI ``IMAGE'' program package developed in IAA
RAS.
