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Authors: J. Alvaro Fernandez and M. Dolores Moreno

Affiliation: Universidad de Extremadura, Spain

Keyword(s): Block Processing, Parallel Processing.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image Formation and Preprocessing ; Image Generation Pipeline: Algorithms and Techniques

Abstract: The aim of this work is to define a strategy for rectangular block partitioning that can be adapted to the number of available processing units in a parallel processing machine, regardless of the input data size. With this motivation, an algorithm for optimal vector block partitioning is introduced and tested in a typical parallel image application. The proposed algorithm provides a novel partition method that reduces data sharing between blocks and maintains block sizes as equal as possible for any input size.

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Paper citation in several formats:
Alvaro Fernandez, J. and Dolores Moreno, M. (2014). A Block Size Optimization Algorithm for Parallel Image Processing. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP; ISBN 978-989-758-003-1; ISSN 2184-4321, SciTePress, pages 138-144. DOI: 10.5220/0004695001380144

@conference{visapp14,
author={J. {Alvaro Fernandez}. and M. {Dolores Moreno}.},
title={A Block Size Optimization Algorithm for Parallel Image Processing},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP},
year={2014},
pages={138-144},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004695001380144},
isbn={978-989-758-003-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP
TI - A Block Size Optimization Algorithm for Parallel Image Processing
SN - 978-989-758-003-1
IS - 2184-4321
AU - Alvaro Fernandez, J.
AU - Dolores Moreno, M.
PY - 2014
SP - 138
EP - 144
DO - 10.5220/0004695001380144
PB - SciTePress