Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICSMC.2009.5346697
Title: Image fusion quality metrics by directional projection
Authors: Hong, R.
Song, Y.
Tang, J. 
Pang, J.
Keywords: Image Fusion
Local Sensitive Intensity
Radon Transform
Issue Date: 2009
Source: Hong, R.,Song, Y.,Tang, J.,Pang, J. (2009). Image fusion quality metrics by directional projection. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics : 4106-4111. ScholarBank@NUS Repository. https://doi.org/10.1109/ICSMC.2009.5346697
Abstract: Image fusion has been over-studied recently. Nevertheless, few works aim to how to evaluate the performance of image fusion algorithms. In this paper, we extend the work in image quality evaluation [1] to a novel metric for objective evaluation of image fusion. Firstly the input images and the result image are converted into local sensitive intensity (LSI) by Radon transform. Then we use the sensitive intensity to measure how many information have been transferred from each source into the fused result by the difference of LSI. Finally all the LSI pairs are incorporated into the expression according to Weber-Fechner law. Experimental results demonstrate that our proposed metric is compliant with subjective evaluations and outperforms other recently developed objective metrics of image fusion. ©2009 IEEE.
Source Title: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
URI: http://scholarbank.nus.edu.sg/handle/10635/40887
ISBN: 9781424427949
ISSN: 1062922X
DOI: 10.1109/ICSMC.2009.5346697
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