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Table 2 Quality comparison of interpolation frames with the proposed and conventional algorithms in terms of various metrics

From: Confidence-based adaptive frame rate up-conversion

Test sequence

Metric

HME[4]

DBS[5]

MRF[6]

Proposed

Akko

NQM

9.68

19.05

19.25

21.00

IFC

2.19

5.26

5.40

5.58

SSIM

0.76

0.94

0.93

0.95

VIF

0.33

0.67

0.67

0.72

UQI

0.55

0.86

0.84

0.86

Ballroom

NQM

8.82

14.70

15.40

15.84

IFC

2.49

4.15

4.35

4.28

SSIM

0.81

0.89

0.91

0.90

VIF

0.36

0.56

0.58

0.58

UQI

0.62

0.73

0.75

0.75

Exit

NQM

17.25

27.36

29.72

28.18

IFC

1.67

2.97

3.20

3.16

SSIM

0.85

0.92

0.94

0.93

VIF

0.31

0.51

0.53

0.53

UQI

0.47

0.56

0.60

0.60

Flamenco2

NQM

14.32

17.69

20.66

20.30

IFC

1.30

2.20

2.76

2.63

SSIM

0.84

0.89

0.93

0.93

VIF

0.23

0.36

0.45

0.44

UQI

0.57

0.69

0.74

0.74

Race1

NQM

7.28

15.50

13.45

18.52

IFC

0.75

2.43

1.95

3.00

SSIM

0.64

0.80

0.77

0.89

VIF

0.11

0.34

0.26

0.44

UQI

0.29

0.58

0.50

0.66

Rena

NQM

8.47

12.40

12.77

13.61

IFC

2.45

4.57

5.24

5.05

SSIM

0.92

0.96

0.97

0.97

VIF

0.45

0.69

0.76

0.73

UQI

0.58

0.76

0.80

0.79

Average

NQM

8.09

13.22

13.59

14.88

IFC

1.53

3.10

3.28

3.42

SSIM

0.66

0.74

0.75

0.77

VIF

0.25

0.44

0.45

0.48

 

UQI

0.43

0.60

0.60

0.63