Abstract
Image processing problems frequently involve large structured arrays of data and a need for very rapid computation. Special parallel processing schemes have evolved over the last 20 years to deal with these problems. In this paper many parallel systems which have been developed for image processing are outlined and the features of their underlying architectures are discussed. Most of these special architectures may be loosely classified as either SIMD or pipeline structures although some MIMD structures have been designed for high level image analysis. In recent years several multiple SIMD (MSIMD) schemes have been proposed as suitable architectures for image processing. The fundamental problems of developing an effective MSIMD system are discussed and a simple SIMD/MIMD computational model for comparison with such systems is proposed.
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