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Minimum Entropy Restoration Using FPGAS and High Level Techniques

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Institute for System Level Integration Livingston, Scotland United Kingdom

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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.

Descriptive Note:

Conference Paper

Supplementary Note:

15th European Signal Processing Conference (EUSIPCO 2007) , 03 Sep 2007, 07 Sep 2007, See also AD1029203.




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Approved For Public Release;

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