A high level FPGA-based abstract machine for image processing

Abstract

Image processing requires high computational power, plus the ability to experiment with algorithms. Recently, reconfigurable hardware devices in the form of field programmable gate arrays (FPGAs) have been proposed as a way of obtaining high performance at an economical price. At present, however, users must program FPGAs at a very low level and have a detailed knowledge of the architecture of the device being used. They do not therefore facilitate easy development of, or experimentation with, image processing algorithms. To try to reconcile the dual requirements of high performance and ease of development, this paper reports on the design and realisation of an FPGA based image processing machine and its associated high level programming model. This abstract programming model allows an application developer to concentrate on the image processing algorithm in hand rather than on its hardware implementation. The abstract machine is based on a PC host system with a PCI-bus add-on card containing Xilinx XC6200 series FPGA(s). The machine's high level instruction set is based on the operators of image algebra. XC6200 series FPGA configurations have been developed to implement each high level instruction.