Minimum Entropy Restoration Using FPGAS and High Level Techniques

Abstract

One of the greatest perceived barriers to the widespread use of FPGAs in image processing is the difficulty for application specialists of developing algorithms on reconfigurable hardware. Minimum entropy deconvolution (MED) techniques have been shown to be effective in the restoration of star-field images. This paper reports on an attempt to implement a MED algorithm using simulated annealing, first on a microprocessor, then on an FPGA. The FPGA implementation uses DIME-C, a C-to-gates compiler, coupled with a low-level core library to simplify the design task. Analysis of the C code and output from the DIME-C compiler guided the code optimisation. The paper reports on the design effort that this entailed and the resultant performance improvements.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 03, 2007
Accession Number
AD1029634

Entities

People

  • Caroline Ruet
  • Malachy Devlin
  • Robin Bruce
  • Stephen Marshall

Tags

Communities of Interest

  • Advanced Electronics
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Annealing
  • Application-Specific Integrated Circuits
  • Compilers
  • Computations
  • Computer Programming
  • Computer Programs
  • Data Transmission
  • Dynamic Range
  • Field Programmable Gate Arrays
  • Floating Point Operations
  • Image Processing
  • Image Restoration
  • Integrated Circuits
  • Language
  • Specialists
  • Standards

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Parallel and Distributed Computing.
  • Systems Analysis and Design