STREAM PROCESSING ARCHITECTURE FOR REAL-TIME IMPLEMENTATION OF PERSPECTIVE SPATIAL TRANSFORMATIONS

A system is presented which is capable of performing perspective spatial transformations at video rate, by means of a mapping function which can vary at frame rate. The mapping is implemented by two successive applications of a one-dimensional algorithm operating in scan-line order, using a framestore to store an intermediate image. A novel one-dimensional filtering algorithm provides a continuous mapping from source to destination co-ordinates, significantly reducing aliasing. Emphasis is placed on the design of a novel stream processing architecture which, coupled with an efficient pipelined co-ordinate generation system, provides single-cycle per output pixel performance.