FPGA-Based Soft-Core Processors for Image Processing Applications

With security and surveillance, there is an increasing need to process image data efficiently and effectively either at source or in a large data network. Whilst a Field-Programmable Gate Array has been seen as a key technology for enabling this, the design process has been viewed as problematic in terms of the time and effort needed for implementation and verification. The work here proposes a different approach of using optimized FPGA-based soft-core processors which allows the user to exploit the task and data level parallelism to achieve the quality of dedicated FPGA implementations whilst reducing design time. The paper also reports some preliminary progress on the design Roger Woods [email protected] Moslem Amiri [email protected] Fahad Manzoor Siddiqui [email protected] Colm Kelly [email protected] Karen Rafferty [email protected] Burak Bardak [email protected] 1 School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Stranmillis Road, Belfast, Northern Ireland, UK 2 Thales, Belfast, Northern Ireland, UK 3 Department of Computer Engineering, European University of Lefke, Gemikonagi, Turkey flow to program the structure. An implementation for a Histogram of Gradients algorithm is also reported which shows that a performance of 328 fps can be achieved with this design approach, whilst avoiding the long design time, verification and debugging steps associated with conventional FPGA implementations.