A novel method for parallel image processing applications |
| |
| Affiliation: | 1. Department of Marketing, B.I. Moody III College of Business Administration, University of Louisiana at Lafayette, Lafayette, LA 70504-3930, United States;2. MHRM Department, School of Management, Purdue University Calumet, IN 46323, United Sates;3. Department of Marketing, Southern Illinois University, Carbondale, IL 62901-4629, United States;1. Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK;2. School of Public Health, The University of Hong Kong, Hong Kong;3. School of Nursing, The University of Hong Kong, Hong Kong;4. Center for Community-Based Research, Dana-Farber Cancer Institute/Department of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Cambridge, MA, United States |
| |
| 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. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
