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. 2022 Nov 7;61(1):155–177. doi: 10.1007/s11517-022-02697-8

Table 4.

Assessment of different fusion methods on CT/MR-Gad images

Method and metrics DWT MPCNN CSR NSCT CSMCA GFS NSCT_SR NSCT_PCLP Proposed
EN 4.6619 4.0622 4.5380 4.8419 4.5102 4.6686 4.7651 4.8893 4.9821
MI 2.9486 2.6828 2.9653 3.1088 3.0709 3.0124 3.1098 3.0928 3.1953
QAB/F 0.3715 0.1279 0.4317 0.4152 0.4443 0.4497 0.4291 0.4080 0.4736
PSNR 64.4828 60.0427 64.8071 64.6118 64.8093 64.1848 64.7035 64.6530 64.9061
SD 69.8985 30.6469 64.5089 76.7335 70.8491 66.0041 78.0360 79.3871 84.4695
AG 8.0279 3.2498 6.6523 7.4735 6.6833 6.7030 7.4143 7.3386 9.6266
Time (sec) 0.4067 34.7309 55.5042 3.0921 1755.09 0.3146 32.9427 2.6856 101.439

The bold values indicate the best result of the evaluation criterion