Framework to parallelize an image processing library on a distributed-memory system

Cristina Nicolescu; Pieter P. Jonker

doi:10.1117/12.403599

Translator Disclaimer

9 October 2000 Framework to parallelize an image processing library on a distributed-memory system

Cristina Nicolescu, Pieter P. Jonker

Author Affiliations +

Proceedings Volume 4118, Parallel and Distributed Methods for Image Processing IV; (2000) https://doi.org/10.1117/12.403599
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

This paper presents a framework to add data and task parallelism to a sequential image processing library. The library contains 3 modules, one for low-level operators, the second for intermediate-level operators and the third for high-level operators. We parallelize the low-level operators by data decomposition and we are working at adding task parallelism at the image processing application level. We validate our data parallel approach by testing it with the geometric mean filter and the multibaseline stereo vision algorithm. Experiments on a cluster of workstations show very good speedup.

Citation Download Citation

Cristina Nicolescu and Pieter P. Jonker "Framework to parallelize an image processing library on a distributed-memory system", Proc. SPIE 4118, Parallel and Distributed Methods for Image Processing IV, (9 October 2000); https://doi.org/10.1117/12.403599

ACCESS THE FULL ARTICLE