Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1016/S1383-7621(98)00041-1 | Journal of Systems Architecture |
Keywords | Field | DocType |
fast algorithms,novel method,2-d convolution/correlation,parallel processing,image processing,2-d transforms,parallel image processing application,high throughput,digital image processing | Throughput (business),Computer science,Convolution,Parallel algorithm,Parallel computing,Image processing,Algorithm,Kernel (image processing),Digital image processing,Overlap–add method,Mixed radix | Journal |
Volume | Issue | ISSN |
45 | 10 | Journal of Systems Architecture |
Citations | PageRank | References |
3 | 0.50 | 5 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Boussakta | 1 | 135 | 11.59 |