The authors describe a dedicated processor that can convolve a circular FIR filter of diameter 16 pixels to an image of 512 pixels multiplied by 512 pixels within 0. 5 s. Hexagonal sampling and a hexagonal sectioning method are used to realize the FIR filter, and discrete cyclic convolution, is performed using the Fermat number transform. The restoration of a blurred image is presented to show the effectiveness of the processor.
|Number of pages||4|
|Journal||ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings|
|Publication status||Published - Dec 1 1986|
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering