FLGC-Fusion GAN: An Enhanced Fusion GAN Model by Importing Fully Learnable Group Convolution

Table 1

The average evaluation index value of all methods on the 20 images of the TNO dataset.

Methods	SF	EN	CC	COSIN	SD	SSIM
CVT	6.9696	6.2151	0.4023	0.9118	28.7006	0.394
DTCWT	6.9266	6.6617	0.3892	0.9549	32.6006	0.4652
GFF	7.0902	7.1238	0.3711	0.8683	43.2243	0.3763
GTF	7.2161	7.1464	0.3622	0.9739	44.3197	0.3858
Fusion GAN	7.4707	7.377	0.4473	0.9715	48.5708	0.4132
FLGC-Fusion GAN	8.0068	7.5199	0.4861	0.9801	50.6215	0.4541

The number in each column indicates the average value of the evaluation index.