Infrared and Visible Image Fusion Combining Interesting Region Detection and Nonsubsampled Contourlet Transform

Table 1

Objective results for various fusion results.

Evaluation	Experiment	Fusion methods
		PCA	DWT	PCNN	NSCT	LP-PCNN	NSCT-PCNN	IFM	MWGF	Reference [8]	Proposed
MI	Sand path	1.1117	0.5578	1.4473	1.5081	0.5468	1.0629	1.6325	1.7830	1.7935	1.8874
	Bristol Queens Road	2.4788	1.2387	2.3390	1.9813	1.1924	2.2035	1.6665	2.5665	2.3513	2.6238
	UN Camp	2.1191	0.7973	2.0342	1.5648	0.8595	1.0644	2.7810	2.9160	2.3461	2.1219
	Trees	1.3114	0.8653	0.8844	1.1424	0.7757	1.3761	1.0500	1.3480	1.3418	1.3598
	Jeep	2.1219	1.0000	3.1090	2.4130	1.9150	2.4980	1.8704	2.9550	2.9721	2.9613
	Kaptein	2.0190	1.0910	2.5090	1.8650	1.1960	1.7100	3.469	3.3830	3.2045	3.3921
	Average MI	1.8603	0.9250	2.0538	1.7457	1.0809	1.6524	2.0782	2.4919	2.3349	2.3910
VIF	Sand path	0.4201	0.2566	0.3048	0.3284	0.2788	0.3886	0.3599	0.4813	0.4821	0.5230
	Bristol Queens Road	0.4991	0.3797	0.4986	0.4906	0.4687	0.5196	0.4947	0.5715	0.4949	0.5202
	UN Camp	0.4599	0.2899	0.3107	0.3538	0.3156	0.3743	0.4419	0.4937	0.3873	0.4656
	Trees	0.3776	0.3238	0.3145	0.4128	0.3648	0.4372	0.5141	0.5013	0.5243	0.4311
	Jeep	0.4575	0.4100	0.5440	0.4841	0.5544	0.4788	0.4572	0.6023	0.5528	0.6107
	Kaptein	0.4182	0.3637	0.4332	0.4488	0.4308	0.4359	0.4871	0.5189	0.4947	0.5103
	Average VIF	0.4387	0.3372	0.4009	0.4197	0.4021	0.4390	0.4591	0.5281	0.4894	0.5101
Q^AB/F	Sand path	0.5013	0.3934	0.4188	0.4331	0.4136	0.5218	0.5104	0.5161	0.5072	0.5295
	Bristol Queens Road	0.5678	0.3841	0.6708	0.5963	0.5889	0.6661	0.6066	0.6746	0.6693	0.6719
	UN Camp	0.5038	0.3442	0.4785	0.4169	0.4356	0.4650	0.5265	0.5262	0.5296	0.5330
	Trees	0.4533	0.3909	0.3804	0.4306	0.4476	0.4423	0.6004	0.5815	0.4832	0.4524
	Jeep	0.4252	0.3436	0.6453	0.3022	0.5467	0.3142	0.3892	0.6769	0.6348	0.6818
	Kaptein	0.3249	0.3442	0.5280	0.3692	0.4759	0.4240	0.5853	0.6109	0.6118	0.6189
	Average Q^AB/F	0.4627	0.3667	0.5203	0.4247	0.4847	0.4722	0.5364	0.5977	0.5726	0.5813