FPGA-based soft-core processors for image processing applications

Moslem Amiri, Fahad Manzoor Siddiqui, Colm Kelly, Roger Woods, Karen Rafferty, Burak Bardak

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)
641 Downloads (Pure)


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 (FPGA) 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 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.
Original languageEnglish
Pages (from-to)139-156
Number of pages18
Journal Journal of Signal Processing Systems
Issue number1
Early online date10 Oct 2016
Publication statusPublished - Apr 2017


  • FPGAs
  • Heterogeneous multi-core architecture
  • Image processing

ASJC Scopus subject areas

  • Engineering(all)
  • Signal Processing


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