Matched Image Formation and Restoration System*

Abstract

In the past, attempts to increase the resolution of images by modification of the imaging system or by image enhancement techniques have been two separate fields of endeavor. Research on imaging systems concentrated on resolution increase by use of such approaches as special phase masks, the rearrangement of the spatial bandwidth of a system, and trades of temporal bandwidth for spatial bandwidth [1-7]. The image restoration techniques have concentrated on spectral extrapolation using maximum entropy, Bayes’ theorem, Gerchberg's algorithm, or some other iterative approach [8-12].