An FPGA implementation of a flexible, parallel image processing architecture suitable for embedded vision systems

Abstract

This paper describes the design of a programmable parallel architecture that is to be used for signal pre-processing in intelligent embedded vision systems. The architecture has been implemented and tested using a Celoxica RC1000 prototyping platform with a Xilinx XCY2000E FPGA. The system operates at a clock rate of 50 MHz and can perform pre-processing functions such as filtering, correlation and transformation on an image of 256x256 pixels at up to 667 frames/s.