Table 5.

Comparative analysis among the proposed deep transfer learning based multi-modality image fusion and the competitive approaches in terms of edge strength (maximum is better)

Group	LEPN (Zhu et al. 2019)	DSA (Zhu et al. 2020)	CNN (Kumar et al. 2020)	EGDM (Lu et al. 2014)	DDcGAN (Ma et al. 2020)	3GANs (Wang et al. 2019)	Proposed
$G_1$	$0.61\pm 0.012$	$0.62\pm 0.014$	$0.64\pm 0.012$	$0.63\pm 0.013$	$0.59\pm 0.012$	$0.63\pm 0.012$	$0.64\pm 0.008$
$G_2$	$0.62\pm 0.014$	$0.62\pm 0.015$	$0.62\pm 0.012$	$0.62\pm 0.012$	$0.62\pm 0.011$	$0.61\pm 0.009$	$0.62\pm 0.009$
$G_3$	$0.61\pm 0.012$	$0.64\pm 0.015$	$0.62\pm 0.008$	$0.63\pm 0.009$	$0.62\pm 0.012$	$0.62\pm 0.012$	$0.64\pm 0.008$
$G_4$	$0.61\pm 0.013$	$0.63\pm 0.014$	$0.63\pm 0.012$	$0.63\pm 0.008$	$0.63\pm 0.012$	$0.63\pm 0.009$	$0.63\pm 0.008$
$G_5$	$0.63\pm 0.013$	$0.62\pm 0.013$	$0.64\pm 0.012$	$0.62\pm 0.011$	$0.64\pm 0.012$	$0.62\pm 0.007$	$0.64\pm 0.007$
$G_6$	$0.61\pm 0.014$	$0.61\pm 0.011$	$0.62\pm 0.011$	$0.62\pm 0.011$	$0.63\pm 0.008$	$0.62\pm 0.012$	$0.63\pm 0.008$
$G_7$	$0.62\pm 0.011$	$0.64\pm 0.012$	$0.64\pm 0.011$	$0.63\pm 0.012$	$0.62\pm 0.009$	$0.59\pm 0.007$	$0.64\pm 0.007$
$G_8$	$0.63\pm 0.015$	$0.61\pm 0.011$	$0.62\pm 0.011$	$0.62\pm 0.009$	$0.64\pm 0.009$	$0.63\pm 0.007$	$0.64\pm 0.007$
$G_9$	$0.62\pm 0.014$	$0.62\pm 0.012$	$0.61\pm 0.008$	$0.62\pm 0.012$	$0.63\pm 0.011$	$0.62\pm 0.008$	$0.63\pm 0.008$
$G_{10}$	$0.59\pm 0.013$	$0.64\pm 0.012$	$0.63\pm 0.008$	$0.62\pm 0.011$	$0.63\pm 0.012$	$0.59\pm 0.008$	$0.64\pm 0.008$
$G_{11}$	$0.62\pm 0.015$	$0.64\pm 0.015$	$0.62\pm 0.011$	$0.61\pm 0.008$	$0.63\pm 0.009$	$0.61\pm 0.007$	$0.64\pm 0.007$
$G_{12}$	$0.62\pm 0.011$	$0.61\pm 0.013$	$0.61\pm 0.013$	$0.63\pm 0.012$	$0.64\pm 0.011$	$0.62\pm 0.008$	$0.64\pm 0.008$
$G_{13}$	$0.61\pm 0.013$	$0.63\pm 0.013$	$0.63\pm 0.008$	$0.61\pm 0.009$	$0.63\pm 0.012$	$0.63\pm 0.009$	$0.63\pm 0.008$
$G_{14}$	$0.63\pm 0.014$	$0.64\pm 0.014$	$0.59\pm 0.012$	$0.64\pm 0.012$	$0.63\pm 0.009$	$0.63\pm 0.012$	$0.64\pm 0.009$
$G_{15}$	$0.63\pm 0.012$	$0.63\pm 0.015$	$0.61\pm 0.008$	$0.62\pm 0.009$	$0.63\pm 0.012$	$0.59\pm 0.009$	$0.63\pm 0.008$