Skip to main content

Table 5 The objective evaluation scores about group 3 fused images

From: Hahn-PCNN-CNN: an end-to-end multi-modal brain medical image fusion framework useful for clinical diagnosis

Methods

Metrics

QABF

SSIM

VIF

FMI

SF

CE

DTCWT

0.3861

0.4348

0.4464

0.2852

17.4331

0.8959

GFF

0.5720

0.6468

0.4506

0.3532

18.9569

0.8728

NSCT

0.3976

0.4788

0.4817

0.2887

17.4846

0.8479

LPSR

0.5423

0.7266

0.5427

0.3284

18.9312

0.8081

IGM

0.4853

0.5885

0.5013

0.3227

17.8907

0.8875

CNN

0.5141

0.6261

0.4613

0.2933

19.6962

0.8215

VSMWLS

0.4470

0.6027

0.5735

0.3037

15.0761

0.8140

LRD

0.5102

0.6293

0.5016

0.3008

18.0826

0.6713

Hahn-PCNN-CNN

0.5731

0.7636

0.5957

0.3741

19.8026

0.6092