Table 3 The performance of different denoising algorithms is evaluated based on Entropy, PSNR, SSIM, FSIM, BRISQUE, PIQE and NIQE metrics for CT image.

From: Detail-preserving denoising of CT and MRI images via adaptive clustering and non-local means algorithm

Method

σ

Entropy

PSNR

SSIM

FSIM

BRISQUE

NIQE

PIQE

Ours

10

7.16

29.68

0.82

0.90

23.76

3.38

23.80

20

7.08

27.45

0.73

0.85

28.40

3.05

25.25

30

7.11

26.11

0.67

0.84

21.20

3.32

21.89

40

7.09

25.10

0.62

0.82

29.81

3.60

26.76

OD-CNN

10

7.01

27.45

0.79

0.85

25.90

4.16

29.99

20

7.00

23.67

0.73

0.81

25.87

4.13

27.70

30

6.95

21.80

0.66

0.80

26.37

4.84

26.10

40

6.56

20.02

0.61

0.78

30.78

5.10

28.15

NDiff

10

6.14

25.25

0.72

0.83

31.94

4.61

30.76

20

6.71

21.76

0.69

0.82

32.30

4.30

29.44

30

6.75

20.15

0.63

0.79

32.74

4.06

28.23

40

6.62

19.09

0.59

0.76

33.46

4.36

35.30

SDPM

10

6.70

23.19

0.69

0.81

30.60

3.66

34.15

20

6.88

22.55

0.63

0.78

30.08

4.19

31.32

30

6.78

21.11

0.60

0.77

36.09

5.12

30.27

40

6.00

18.07

0.57

0.73

33.46

4.40

31.27

NGN

10

6.33

25.72

0.73

0.80

30.60

4.96

35.65

20

6.99

22.76

0.58

0.79

30.91

5.42

38.58

30

6.49

23.34

0.58

0.77

33.56

4.74

44.13

40

6.19

19.69

0.55

0.76

36.37

4.60

33.72

UDLF

10

6.34

23.49

0.67

0.71

37.29

5.42

37.71

20

5.51

20.96

0.59

0.78

35.28

5.65

42.64

30

5.58

19.31

0.53

0.78

42.83

5.07

41.62

40

5.52

14.05

0.54

0.76

43.38

5.30

35.04

CNCL

10

6.17

23.51

0.62

0.79

41.31

5.24

40.60

20

6.22

21.67

0.60

0.73

43.54

5.14

43.77

30

6.23

20.90

0.59

0.72

42.93

5.54

48.53

40

6.05

18.75

0.51

0.73

35.23

4.98

43.25

BP-MEC

10

5.97

24.31

0.65

0.74

37.55

4.24

47.41

20

5.87

21.50

0.51

0.71

42.83

5.22

52.59

30

5.93

19.85

0.55

0.69

43.44

5.55

46.08

40

5.87

14.41

0.50

0.68

43.46

5.52

55.69

FDCT

10

5.19

23.37

0.66

0.79

34.16

6.05

55.86

20

6.07

22.06

0.58

0.76

43.93

6.20

49.63

30

5.10

20.30

0.52

0.72

37.64

6.69

48.81

40

5.31

14.26

0.56

0.70

43.78

5.90

54.93

NSCT-BT

10

5.03

22.89

0.65

0.77

35.89

6.27

56.89

20

4.93

21.28

0.64

0.75

36.78

6.55

57.19

30

4.67

20.98

0.63

0.73

37.89

6.67

58.99

40

4.55

19.27

0.61

0.71

38.18

6.83

59.18

IDM-PM

10

4.97

22.67

0.63

0.76

36.88

6.34

57.19

20

4.87

21.22

0.62

0.74

37.88

6.55

58.99

30

4.73

20.19

0.59

0.72

38.18

6.66

59.17

40

4.66

18.97

0.57

0.71

39.99

6.89

61.83

DCT-ACO

10

5.13

22.08

0.64

0.77

36.42

6.33

58.37

20

5.06

21.06

0.50

0.75

40.83

7.09

61.89

30

4.66

20.15

0.47

0.69

46.99

5.68

53.12

40

4.14

13.77

0.54

0.66

43.49

6.92

59.15

ANLM

10

4.92

21.78

0.62

0.75

36.78

6.45

59.99

20

4.68

20.91

0.59

0.73

37.88

6.78

60.98

30

4.55

19.88

0.56

0.70

38.18

6.87

61.25

40

4.47

18.99

0.53

0.69

39.67

6.98

62.35

Z-NLM

10

4.67

21.87

0.61

0.74

37.11

6.67

59.17

20

4.45

20.90

0.58

0.71

38.98

6.76

60.19

30

4.29

18.99

0.55

0.68

40.18

6.88

61.77

40

4.27

17.97

0.53

0.65

41.87

6.95

62.56

ONLM

10

4.55

20.89

0.59

0.73

38.18

6.83

61.38

20

4.41

19.28

0.57

0.71

39.18

6.89

62.18

30

4.26

18.26

0.52

0.69

40.89

6.94

63.89

40

4.22

17.16

0.50

0.67

41.87

7.01

64.78

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