A partition strategy to speedup Goldstein’s phase unwrapping algorithm on a multi-core architecture
The two-dimensional phase unwrapping is an important and demanding task in measuring methods where a wrapped phase is retrieved such as in remote sensing applications and interferometry techniques. Among phase unwrapping tech-niques, Goldstein’s algorithm is one of the most robust and efficient. In...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad Autónoma del Estado de Morelos
2018-02-01
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| Series: | Programación Matemática y Software |
| Subjects: | |
| Online Access: | https://progmat.uaem.mx/progmat/index.php/progmat/article/view/221 |
| Summary: | The two-dimensional phase unwrapping is an important and demanding task in measuring methods where a wrapped phase is retrieved such as in remote sensing applications and interferometry techniques. Among phase unwrapping tech-niques, Goldstein’s algorithm is one of the most robust and efficient. In this arti-cle, a partition strategy to parallelize Goldstein’s algorithm on a multi-core archi-tecture using the programming languages C and OpenMP is proposed. Experi-mental results, using simulated and real data, show that our proposal can be used forrealtime applications.
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| ISSN: | 2007-3283 |