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Image and Signal Processing Research Group

Image and Signal Processing using Field Programmable Gate Arrays

With the need for increased speed and integration, many real-time image and signal processing algorithms must be implemented in hardware. In the past this was through the design of dedicated processors. However, field programmable gate arrays (FPGAs) have matured to the stage where they now offer a practical and relatively inexpensive alternative to dedicated hardware. This project investigates aspects of mapping the algorithms for image processing and signal processing onto FPGAs.

VERTIPH figure  The team

Participating Staff

  • Donald Bailey (Project Leader)

Students

  • Aaron Bishell (MSc: 2007-2008) "Designing Application Specific Processors for Image Processing"
  • Andreas Buhler (ME: 2006-2007) "GateOS: A minimalist Windowing Environment and Operating System for FPGAs"
  • Cameron Baker (FYP: 2005) "Interfacing FPGA to External Devices"
  • Chris Johnston (PhD: 2004-     )
  • Kim Gribbon (PhD: 2003-      )
  • Chris Johnston (FYP: 2003) "A Real-Rime FPGA Implementation of Barrel Distortion Correction Algorithm"
  • David Johnson (FYP: 2002) "Hardware Implementation of Digital Signal Processing Algorithms"

Publications

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