A framework for multisensor image fusion using graphics hardware

Seung H. Yoo; Sung U. Jo; Ki Young Choi; Chang-Sung Jeong

doi:10.1109/ICIF.2008.4632385

A framework for multisensor image fusion using graphics hardware

Seung H. Yoo, Sung U. Jo, Ki Young Choi, Chang-Sung Jeong

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

This paper presents a framework for pixel-level multisensor image fusion algorithm using graphics hardware. When it comes to the fusion technology of recent times, not only its visibility through information maximization which is brought about by the progress in sensor technology but also the importance of fusion processing speed has increased. The GPU provides high-performance compared to its price and executes rapid computation by supporting internal parallel processing can be used to improve the image fusion processing speed. Through an implementation of pixel-level image fusion methods using GPU and CPU, this paper shows an increase in the execution time of the GPU compared to the execution time of the CPU as the multi-scale level and resolution increase.

Original language	English
Title of host publication	Proceedings of the 11th International Conference on Information Fusion, FUSION 2008
DOIs	https://doi.org/10.1109/ICIF.2008.4632385
Publication status	Published - 2008 Dec 1
Event	11th International Conference on Information Fusion, FUSION 2008 - Cologne, Germany Duration: 2008 Jun 30 → 2008 Jul 3

Other

Other	11th International Conference on Information Fusion, FUSION 2008
Country	Germany
City	Cologne
Period	08/6/30 → 08/7/3

Keywords

GPU
Multisensor fusion
Parallelism
Pixel-level image fusion

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Science Applications
Information Systems

Access to Document

10.1109/ICIF.2008.4632385

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Yoo, S. H., Jo, S. U., Choi, K. Y., & Jeong, C-S. (2008). A framework for multisensor image fusion using graphics hardware. In Proceedings of the 11th International Conference on Information Fusion, FUSION 2008 [4632385] https://doi.org/10.1109/ICIF.2008.4632385

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