NONUNIFORM IMAGE REPRESENTATION IN AREA-OF-INTEREST SYSTEMS

This paper is concerned with image representation by data distributed nonuniformly and in particular with a representation scheme suitable f or ''area-of-interes'' imaging. The class of signals under considerati on, whose information density varies with position, can be represented according to a nonuniform sampling scheme, Position-varying projectio n operators are presented as simple low-pass filtering operations in a Fourier-like domain, Sequential projections are used for pyramidal re presentation of nonuniformly sampled images. It is shown that irregula r random sampling, prevents, under certain mild restrictions, aliasing effects.