Differential Evolution Algorithm Based Spatial Multi-sensor Image Fusion

Veysel Aslantas, Emre Bendes


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.


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Paper 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

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,},

in EndNote Style

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