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Table 4 The objective evaluation scores about group 2 fused images

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

Methods

Metrics

\(Q_{AB}^F\)

SSIM

VIF

FMI

SF

CE

DTCWT

0.5850

0.5655

0.5233

0.6019

18.4431

0.3297

GFF

0.6766

0.5474

0.5467

0.6716

19.2020

0.2267

NSCT

0.6106

0.6139

0.5479

0.6243

18.5155

0.3095

LPSR

0.6255

0.6220

0.6128

0.6509

18.6395

0.2609

IGM

0.6362

0.5740

0.6145

0.6513

18.9933

0.2218

CNN

0.6334

0.6370

0.5678

0.6536

21.8355

0.2574

VSMWLS

0.5387

0.4918

0.5495

0.6167

14.7282

0.3167

LRD

0.6381

0.5650

0.5957

0.6455

19.0145

0.2178

Hahn-PCNN-CNN

0.6967

0.6438

0.6984

0.6950

23.1363

0.1705

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BMC Medical Imaging

ISSN: 1471-2342

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