Morphological Component Analysis-Based Perceptual Medical Image Fusion Using Convolutional Sparsity-Motivated PCNN

Table 1

Objective evaluation for anatomical and anatomical image fusion.

Metric	CSR	NSCT-MSF-PCNN	GFF	CSCS	LP-SR	Proposed
	192.5371	217.4689	204.7978	191.4941	217.2586	475.4320
	0.7166	0.4874	0.7747	0.6542	0.7661	0.9024
	6.5501	6.9821	6.8311	6.7044	7.0135	7.6950
	60.8623	60.8988	61.3338	59.8601	62.0928	70.2132
	877.7084	962.9514	849.0039	1033.4054	975.2739	1225.7900
	0.7068	0.5380	0.7238	0.6372	0.7090	0.8649
	6.1220	6.5293	6.3858	5.6766	6.9076	6.8722
	45.4486	48.4487	49.1475	43.1021	49.6588	51.1843
	306.5058	314.8874	361.3098	424.6304	276.2802	580.2270
	0.7600	0.5294	0.7865	0.6727	0.7750	0.8750
	6.0409	6.4068	6.5122	5.9881	6.6294	6.8274
	58.7902	58.1959	58.4755	56.8458	59.7011	69.6467
	267.9495	317.9863	222.8093	467.2239	253.2109	481.7950
	0.7443	0.4925	0.7747	0.6556	0.7651	0.8862
	6.4027	6.8604	6.8962	6.4012	7.0255	7.1951
	61.1738	67.0296	65.2783	59.9890	67.7791	78.0285
	90.5363	87.7394	79.0995	195.9282	94.2120	220.7360
	0.7467	0.5754	0.8030	0.7083	0.7741	0.8719
	5.8630	6.2027	5.9547	5.9907	6.3836	6.8953
	55.8337	56.4241	57.1615	54.7563	56.6573	60.1770