A digital image system for atmospheric research

This paper describes the architecture of a medium scale digital image processing system developed as a research tool for analysis of meteorological data. The system is also being used for research on efficient image processing systems. Four qualitative performance measures for any image processor are introduced with specific application to the present machine. Preliminary results with noise reduction algorithms in satellite data are presented. Lastly, the versatility of the machine as a test bed for architectural studies of the computational structure of image processors with a microprogrammable control unit is discussed.