Table 5.

Comparison results of multi-focus image fusion on the Lytro and the grayscale datasets, with the best results in bold and the second-best results underlined.

Dataset	Method	EN	MI	MEF-SSIM	${\mathit{Q}}^{\mathbf{AB}/\mathit{F}}$
Lytro	GFF [45]	7.535	15.069	0.994	0.564
	IFCNN [32]	7.534	15.068	0.993	0.684
	SESF [28]	7.534	15.067	0.994	0.536
	PMGI [46]	7.517	15.034	0.958	0.539
	U2Fusion [8]	7.288	14.575	0.970	0.638
	Proposed	7.539	15.077	0.991	0.716
grayscale	GFF [45]	7.255	14.510	0.989	0.500
	IFCNN [32]	7.245	14.489	0.986	0.656
	SESF [28]	7.243	14.486	0.988	0.432
	PMGI [46]	7.207	14.414	0.959	0.548
	U2Fusion [8]	7.090	14.180	0.974	0.618
	Proposed	7.260	14.520	0.989	0.682