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 | |
| 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 |
Fingerprint
Keywords
- GPU
- Multisensor fusion
- Parallelism
- Pixel-level image fusion
ASJC Scopus subject areas
- Computational Theory and Mathematics
- Computer Science Applications
- Information Systems
Cite this
A framework for multisensor image fusion using graphics hardware. / Yoo, Seung H.; Jo, Sung U.; Choi, Ki Young; Jeong, Chang-Sung.
Proceedings of the 11th International Conference on Information Fusion, FUSION 2008. 2008. 4632385.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A framework for multisensor image fusion using graphics hardware
AU - Yoo, Seung H.
AU - Jo, Sung U.
AU - Choi, Ki Young
AU - Jeong, Chang-Sung
PY - 2008/12/1
Y1 - 2008/12/1
N2 - 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.
AB - 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.
KW - GPU
KW - Multisensor fusion
KW - Parallelism
KW - Pixel-level image fusion
UR - http://www.scopus.com/inward/record.url?scp=56749115866&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=56749115866&partnerID=8YFLogxK
U2 - 10.1109/ICIF.2008.4632385
DO - 10.1109/ICIF.2008.4632385
M3 - Conference contribution
AN - SCOPUS:56749115866
SN - 9783000248832
BT - Proceedings of the 11th International Conference on Information Fusion, FUSION 2008
ER -