Infrared and Visible Image Fusion with Hybrid Image Filtering

Table 4

Fusion evaluation indicators for different algorithms for “soldiers with jeep” and “bike with car.”

Method	Soldiers with jeep						Bike with car
	Q^AB/F	NFMI	VIFF	EN	MS-SSIM	SD	Q^AB/F	NFMI	VIFF	EN	MS-SSIM	SD
GFF	0.585	0.914	0.366	6.934	0.857	30.873	0.581	0.862	0.239	7.465	0.851	45.442
CP	0.294	0.873	0.411	6.724	0.795	30.393	0.504	0.827	0.331	7.332	0.810	41.419
TSSD	0.495	0.904	0.460	6.552	0.947	23.523	0.466	0.835	0.309	6.655	0.902	25.477
GTTV	0.324	0.906	0.395	7.536	0.875	56.795	0.321	0.850	0.133	7.600	0.647	48.860
CSR	0.490	0.913	0.347	6.471	0.919	22.147	0.513	0.856	0.250	6.548	0.861	23.755
WLS	0.458	0.897	0.388	6.494	0.896	26.253	0.470	0.840	0.259	6.552	0.870	23.618
MVFMF	0.643	0.915	0.468	7.187	0.853	39.617	0.580	0.861	0.227	7.565	0.842	49.134
CBF	0.352	0.834	0.384	7.018	0.595	34.169	0.463	0.808	0.231	7.510	0.758	48.269
TDMTD	0.558	0.917	0.566	7.227	0.841	43.175	0.450	0.841	0.155	7.108	0.688	39.293
LLRR	0.296	0.907	0.560	7.094	0.850	37.829	0.361	0.831	0.249	7.339	0.854	44.219
CoF	0.448	0.910	0.507	7.148	0.891	38.904	0.424	0.834	0.177	7.074	0.778	40.135
GF-ICoF	0.611	0.920	0.566	7.628	0.948	58.919	0.569	0.856	0.258	7.536	0.877	49.241