Distributed Parallel Image Signal Extrapolation Framework using Message Passing Interface

Conference contribution


Publication Details

Author(s): Seiler J, Kaup A
Publishing place: Budapest, Ungarn
Publication year: 2016
Conference Proceedings Title: European Signal Processing Conf. (EUSIPCO)
Pages range: 81-85
ISBN: 978-0-9928-6265-7
ISSN: 2076-1465
Language: English


Abstract

This paper introduces a framework for distributed parallel image signal extrapolation. Since high-quality image signal processing often comes along with a high computational complexity, a parallel execution is desirable. The proposed framework allows for the application of existing image signal extrapolation algorithms without the need to modify them for a parallel processing. The unaltered application of existing algorithms is achieved by dividing input images into overlapping tiles which are distributed to compute nodes via Message Passing Interface. In order to keep the computational overhead low, a novel image tiling algorithm is proposed. Using this algorithm, a nearly optimum tiling is possible at a very small processing time. For showing the efficacy of the framework, it is used for parallelizing a high-complexity extrapolation algorithm. Simulation results show that the proposed framework has no negative impact on extrapolation quality while at the same time offering good scaling behavior on compute clusters.


FAU Authors / FAU Editors

Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Seiler, Jürgen PD Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Seiler, J., & Kaup, A. (2016). Distributed Parallel Image Signal Extrapolation Framework using Message Passing Interface. In European Signal Processing Conf. (EUSIPCO) (pp. 81-85). Budapest, HU: Budapest, Ungarn.

MLA:
Seiler, Jürgen, and André Kaup. "Distributed Parallel Image Signal Extrapolation Framework using Message Passing Interface." Proceedings of the 24th European Signal Processing Conference (EUSIPCO), Budapest Budapest, Ungarn, 2016. 81-85.

BibTeX: 

Last updated on 2019-18-04 at 23:10