Differential Evolution Algorithm Based Spatial Multi-sensor Image Fusion
Veysel Aslantas, Emre Bendes
2014
Abstract
In this paper, a new optimised region based multi-sensor image fusion method is presented. The proposed method works on spatial domain. Differential evolution algorithm is used to optimize the contribution of the input images to fused images based on regions. The method was compared visually and quantitatively with Laplacian Pyramid (LP) and Shift-invariance Discrete Wavelet Transform (SiDWT) methods. Experimental results show that the developed method outperforms other traditional methods and can effectively improve the quality of the fused image.
DownloadPaper Citation
in Harvard Style
Aslantas V. and Bendes E. (2014). Differential Evolution Algorithm Based Spatial Multi-sensor Image Fusion . In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-039-0, pages 718-725. DOI: 10.5220/0005056407180725
in Bibtex Style
@conference{icinco14,
author={Veysel Aslantas and Emre Bendes},
title={Differential Evolution Algorithm Based Spatial Multi-sensor Image Fusion},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2014},
pages={718-725},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005056407180725},
isbn={978-989-758-039-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Differential Evolution Algorithm Based Spatial Multi-sensor Image Fusion
SN - 978-989-758-039-0
AU - Aslantas V.
AU - Bendes E.
PY - 2014
SP - 718
EP - 725
DO - 10.5220/0005056407180725