A framework for multisensor image fusion using graphics hardware

Seung Hun Yoo, Sung Up Jo, Ki Young Choi, Chang Sung Jeong

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationProceedings of the 11th International Conference on Information Fusion, FUSION 2008
DOIs
Publication statusPublished - 2008
Event11th International Conference on Information Fusion, FUSION 2008 - Cologne, Germany
Duration: 2008 Jun 302008 Jul 3

Publication series

NameProceedings of the 11th International Conference on Information Fusion, FUSION 2008

Other

Other11th International Conference on Information Fusion, FUSION 2008
Country/TerritoryGermany
CityCologne
Period08/6/3008/7/3

Keywords

  • GPU
  • Multisensor fusion
  • Parallelism
  • Pixel-level image fusion

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems

Fingerprint

Dive into the research topics of 'A framework for multisensor image fusion using graphics hardware'. Together they form a unique fingerprint.

Cite this