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Table 2 Comparison results in PSNR(dB) for different levels of Gaussian noise

From: Hybrid regularizers-based adaptive anisotropic diffusion for image denoising

Method

Lena

Peppers

Barbara

Cameraman

House

\(\sigma =5\)

 Noise

35.76

34.18

33.15

33.97

35.17

 TV model

37.46

36.86

35.96

35.95

37.12

 LLT model

36.92

35.94

35.67

35.67

36.34

 NLM model

37.41

36.48

36.72

36.76

37.81

 BLS-GSM

37.16

36.37

36.18

36.63

37.53

 Hybrid model

37.07

36.19

36.11

36.07

37.25

 Proposed model

37.44

36.52

36.82

36.81

37.89

\(\sigma =10\)

 Noise

27.72

28.18

28.15

28.12

28.12

 TV model

33.72

33.19

30.07

32.39

34.27

 LLT model

32.61

31.98

30.12

31.87

32.14

 NLM model

34.79

33.35

33.81

33.41

35.41

 BLS-GSM

34.64

33.25

33.57

33.26

35.32

 Hybrid model

34.56

33.13

33.41

33.22

35.25

 Proposed model

35.07

33.86

34.15

34.27

35.64

\(\sigma =20\)

 Noise

22.17

22.16

22.15

22.20

22.18

 TV model

31.51

30.54

28.78

29.47

31.21

 LLT model

30.67

29.37

27.79

29.32

30.29

 NLM model

31.69

31.02

29.92

30.82

31.82

 BLS-GSM

31.54

30.76

29.64

30.59

31.54

 Hybrid model

31.45

30.71

29.19

30.38

31.43

 Proposed model

31.97

31.17

30.32

30.98

32.29

\(\sigma =40\)

 Noise

16.11

16.09

16.12

16.08

16.14

 TV model

29.22

27.95

26.93

27.62

28.85

 LLT model

28.46

26.07

25.92

27.19

27.95

 NLM model

29.57

28.19

27.89

28.59

29.42

 BLS-GSM

29.36

28.13

27.67

28.35

29.17

 Hybrid model

29.49

28.12

27.86

28.47

29.23

 Proposed model

30.13

28.94

28.42

29.15

30.27

\(\sigma =50\)

 Noise

14.17

14.23

14.21

14.16

14.19

 TV model

27.51

26.05

24.77

25.89

27.73

 LLT model

26.89

25.07

23.91

25.11

26.84

 NLM model

27.95

26.21

25.69

26.32

27.06

 BLS-GSM

27.67

26.03

25.43

26.13

26.74

 Hybrid model

27.76

26.14

25.17

26.27

26.97

 Proposed model

28.21

26.97

25.88

26.62

27.37