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Table 8 The performance evaluation under the conventional attacks

From: Adaptive reversible image watermarking algorithm based on IWT and level set

Original image attack types

Lena

Baboon

Girl

Peppers

PSNR

NC2

PSNR

NC2

PSNR

NC2

PSNR

NC2

No attack

48.68

1

46.45

1

48.24

1

49.34

1

Gaussian filter (3 × 3,\( \boldsymbol{\upsigma} \) =0.5)

45.57

0.947

44.14

0.933

45.69

0.945

45.50

0.941

Gaussian filter (3 × 3,\( \boldsymbol{\upsigma} \) = 0.3)

47.24

0.982

46.08

0.974

47.97

0.981

47.77

0.983

Median filtering (3 × 3)

45.34

0.963

44.27

0.954

45.67

0.959

45.91

0.965

Gaussian noise (0.03)

47.11

0.971

45.95

0.966

46.78

0.972

47.23

0.974

Salt and pepper noise (0.03)

46.28

0.953

44.08

0.95

45.60

0.95

46.15

0.95

JPEG (Q = 30)

44.53

0.941

43.21

0.929

44.82

0.934

45.21

0.936

JPEG (Q = 50)

45.98

0.984

44.70

0.976

45.79

0.981

46.54

0.978