ABSTRACT
Many modern applications need real time reconstruction of high resolution images of some millions pixels in size, which are corrupted by defocusing, medium penetration, camera jitter and other factors. Usually, the model of corruption is presented as convolution of the original image signal and the point spread function (PSF). This chapter considers the problem of arbitrary size image series reconstruction from the point of view of their real time processing. This aim means that the original image estimate can be found by one step deconvolution using the inverse point spread function (IPSF) characteristic and it is allowable to use some optimisation iterations. It is assumed that the blur characteristic changes slowly and the IPSF can be estimated without real time restriction. Therefore, the problem solution includes PSF estimation, definition of the optimal IPSF and evaluation of primary image estimate and optimisation of a given estimate by some number of iterations.
