A real-time implementation of Richardson-Lucy deconvolution

O.N. Sims, J. Irvine

Research output: Contribution to conferencePaper


Deconvolution is an important technique in image processing that may be used to recover images that have been subjected to a blurring process, usually caused by atmospheric effects or limitations of the image capturing equipment. Noise in the image data means that the problem is ill-posed, and thus mathematically complex statistical estimation techniques must be employed. This complexity, and the high throughput levels required for video data, renders a real-time software implementation unfeasible, however the parallelism of FPGA devices makes them an ideal medium. In this paper an FPGA implementation of an accelerated Richardson-Lucy deconvolution algorithm will be presented. The design uses multistage separable filters as a hardware efficient means of implementing the several large 2D convolutions that are required. The results show that real-time full scene deconvolution is viable with today's FPGA technology.
Original languageEnglish
Publication statusPublished - 2006
EventACM/SIGDA 14th International Symposium on Field Programmable Gate Arrays - Monterey, California, United States
Duration: 22 Feb 200624 Feb 2006


ConferenceACM/SIGDA 14th International Symposium on Field Programmable Gate Arrays
Abbreviated titleFPGA 2006
Country/TerritoryUnited States
CityMonterey, California


  • real-time
  • implementation
  • richardson-lucy
  • deconvolution


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