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Table 2 Performance of various algorithms at different noise densities for SSIM on Lena image corrupted by SPN

From: An adaptive decision based interpolation scheme for the removal of high density salt and pepper noise in images

Noise in %

Structural similarity index metrics (SSIM)

SMF [30]

AMF [6]

PSMF [10]

αTMF

α = 4 [30]

CWF [7]

DBA [13]

MDBMF [16]

CUDBMPF [15]

MDBUTMF [17]

MDBUMF-GM [18]

ACBSA [20]

AWMF [23]

DBIDWIF [PA]

10

0.931

0.981

0.980

0.869

0.932

0.970

0.992

0.895

0.992

0.922

0.987

0.979

0.998

20

0.881

0.973

0.940

0.627

0.837

0.962

0.983

0.893

0.982

0.983

0.975

0.971

0.980

30

0.718

0.958

0.882

0.369

0.609

0.950

0.971

0.888

0.971

0.972

0.963

0.962

0.971

40

0.445

0.928

0.764

0.206

0.340

0.930

0.955

0.881

0.957

0.957

0.948

0.952

0.961

50

0.216

0.835

0.554

0.124

0.155

0.903

0.931

0.872

0.938

0.938

0.927

0.938

0.946

60

0.093

0.607

0.093

0.078

0.067

0.866

0.897

0.862

0.910

0.910

0.866

0.919

0.929

70

0.041

0.300

0.044

0.050

0.033

0.814

0.846

0.85

0.870

0.870

0.850

0.892

0.902

80

0.018

0.110

0.021

0.033

0.016

0.735

0.764

0.831

0.800

0.803

0.769

0.85

0.861

90

0.009

0.041

0.010

0.021

0.009

0.592

0.60

0.789

0.676

0.673

0.749

0.773

0.811