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A Framework for multisensor image fusion using graphics hardware

Seung-Hun Yoo, Sung-Up Jo, Ki-Young Choi, Chang-Sung Jeong
Department of Electronics Engineering, Korea University, Seoul, Korea
11th International Conference on Information Fusion, 2008

@inproceedings{yoo2008framework,

   title={A Framework for multisensor image fusion using graphics hardware},

   author={Yoo, S.H. and Jo, S.U. and Choi, K.Y. and Jeong, C.S.},

   booktitle={Information Fusion, 2008 11th International Conference on},

   pages={1–5},

   year={2008},

   organization={IEEE}

}

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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 GPU as the multi-scale level and resolution increase.
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