Skip to main content

Table 2 Performance of the different fusion methods on processing Fig. 4 for Group 1

From: Image fusion research based on the Haar-like multi-scale analysis

Images (methods)

AG

SF

OP

MI

SpD

CR

SSIM

Figure 4a (PCA)

8.7903

21.4346

 − 15.2545

3.5397

24.0447

0.8795

0.7904

Figure 4b (HSV)

6.9625

17.2834

 − 11.1289

4.1398

18.0914

0.8784

0.8494

Figure 4c (WPT)

10.8598

22.9335

1.7329

2.7861

9.1269

0.9365

0.9362

Figure 4d (Curvelet)

8.9192

19.6470

 − 2.7791

2.4540

11.6982

0.9150

0.9136

Figure 4e (Contourlet)

8.7912

18.9437

 − 3.2805

2.4358

12.0717

0.9150

0.9110

Figure 4f (NSCT)

9.0090

21.0169

 − 4.8913

2.5859

13.9003

0.9012

0.8888

Figure 4g (HSV + WPT)

9.1320

19.4122

0.0648

3.0833

9.0672

0.9397

0.9332

Figure 4h (HSV + NSCT)

7.8324

17.8977

 − 1.8937

3.2785

9.7261

0.9394

0.9324

Figure 4i (DEMEF[30])

9.2017

19.9655

 − 8.0944

3.4226

17.2961

0.8930

0.8627

Figure 4j (NDFA[31])

8.3083

17.3955

 − 15.6440

3.1723

23.9523

0.8951

0.7783

Figure 4k (PODFA [32])

8.6850

17.6899

 − 15.8341

3.0287

24.5191

0.8598

0.7874

Figure 4l (Proposed)

9.2437

20.2221

3.0122

3.2787

6.2316

0.9684

0.9687

  1. The optimum value of each index is marked in bold