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Table 4 Performance of various algorithms at different noise densities for Pratt’s FOM 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

ND in %

Pratt’s FOM

DBA [13]

IDBA [14]

MDBMF [16]

CUDMPF [15]

MDBUTMF [17]

MDBUMF-GM [18]

ACBSA [20]

AWMF [23]

DBIDWIF [PA]

10

0.885

0.892

0.942

0.733

0.940

0.942

0.929

0.900

0.933

20

0.871

0.856

0.896

0.688

0.890

0.904

0.894

0.887

0.900

30

0.823

0.831

0.861

0.670

0.852

0.853

0.859

0.836

0.875

40

0.787

0.797

0.813

0.647

0.807

0.805

0.825

0.816

0.843

50

0.743

0.758

0.763

0.641

0.735

0.741

0.791

0.804

0.817

60

0.699

0.727

0.651

0.621

0.664

0.659

0.626

0.739

0.769

70

0.582

0.670

0.528

0.558

0.587

0.583

0.594

0.645

0.710

80

0.467

0.580

0.441

0.477

0.468

0.468

0.468

0.553

0.624

90

0.332

0.425

0.306

0.392

0.326

0.339

0.441

0.423

0.511