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Table 5 Average similarity values for dataset 1 and dataset 2

From: Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization

Dataset

Method

SSIM

PSNR

VIF

MSE

GLED

AMBE

Dataset 1

Global HE

0.73

16.73

0.73

2046.12

1.76

26.65

 

Fixed CLAHE

0.78

18.36

0.84

1075.52

0.50

12.35

 

LB-CLAHE

0.90

23.39

0.89

396.26

0.22

8.78

Dataset 2

Global HE

0.75

16.51

0.69

2277.92

2.00

28.60

 

Fixed CLAHE

0.77

16.48

0.74

1949.75

0.60

25.56

 

LB-CLAHE

0.86

19.83

0.82

1181.10

0.17

20.91

  1. Higher values are desired for SSIM, PSNR,and VIF. Lower values are desired for MSE, GLED, and AMBE
  2. Best performances are highlighted