@inproceedings{5c04cf4067184f53ad0d80a2aad43b12,
title = "A framework for multisensor image fusion using graphics hardware",
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.",
keywords = "GPU, Multisensor fusion, Parallelism, Pixel-level image fusion",
author = "Yoo, {Seung Hun} and Jo, {Sung Up} and Choi, {Ki Young} and Jeong, {Chang Sung}",
year = "2008",
doi = "10.1109/ICIF.2008.4632385",
language = "English",
isbn = "9783000248832",
series = "Proceedings of the 11th International Conference on Information Fusion, FUSION 2008",
booktitle = "Proceedings of the 11th International Conference on Information Fusion, FUSION 2008",
note = "11th International Conference on Information Fusion, FUSION 2008 ; Conference date: 30-06-2008 Through 03-07-2008",
}