A novel method for parallel image processing applications

It is the aim of this paper to introduce a novel method for the calculation of 2-D convolution/correlation for image processing application. The technique combines a recently developed 2-D transform based on the Mersenne numbers with the 2-D Fermat number transform, using the 2-D mixed radix convers...

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Bibliographic Details
Published in:Journal of systems architecture 1999-04, Vol.45 (10), p.825-839
Main Author: Boussakta, S.
Format: Article
Language:English
Subjects:
2-D convolution/correlation
2-D transforms
Algorithms
Fast algorithms
Image processing
Image processing systems
Parallel processing
Studies
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Summary:It is the aim of this paper to introduce a novel method for the calculation of 2-D convolution/correlation for image processing application. The technique combines a recently developed 2-D transform based on the Mersenne numbers with the 2-D Fermat number transform, using the 2-D mixed radix conversion. The resulting combination uses fast two dimensional residue transforms which can be implemented in parallel for high speed and high throughput rate. The technique is suitable for parallel calculation of 2-D convolution/correlation for digital image processing applications purposes.
ISSN:1383-7621
1873-6165
DOI:10.1016/S1383-7621(98)00041-1