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Table 3 Filters in comparison (excluding the proposed filter), with their respective parameters’ values at which the filters are implemented

From: An adaptive switching filter based on approximated variance for detection of impulse noise from color images

Filters

Parameters

Filters

Parameters

MMF

 

RCTDDF

l = 5, T = 40

VMF

 

FVMF

α = 0.5, β = 1

BVDF

 

FVDF

α = 2, β = 1

DDF

μ = 0.7

FOVMF

α = 0.5, β = 1, l = 4

CWVMF

w = 5

AVMMF

l = 5, k = 3

CWVDF

w = 3

SDM

T a  = 40, T b  = 70, T c  = 120, T d  = 160

CWDDF

w = 3

RSVMF

β = 0.15

ACWVMF

w = 3, T = 80

NCVMF

T = 32

ACWVDF

w = 5, T = 0.2

NCRVMF

T = 38

ACWDDF

w = 5, T = 47

NCVMF_2nc

T = 30

MCWVMF

w = 1.4

NCVMF_1nc

T = 20

PGF

T = 40

NCVMF_1c

T = 25

FPGF

m = 4, T = 30

SVMF_MEAN

μ = 1.544

AVMF

T = 35

SVMF_RANK

μ = 1.475

AVDF

\( \partial \) = 1.57, T = 0.12

SVDF_MEAN

μ = 1.544

EVMF

υ = 0.6

SVDF_RANK

μ = 1.475

EVDF

υ = 0.2

SDDF_MEAN

μ = 1.544

EDDF

υ = 0.1

SDDF_RANK

μ = 1.475

NVMF

T = 90

ASVMF_MEAN

δ = 0.6

RCVMF

l = 5

ASVMF_RANK

δ = 0.65

RCVDF

l = 5

ASVDF_MEAN

δ = 1

RCDDF

l = 5

ASVDF_RANK

δ = 0.03

RCTVMF

l = 5, T = 40

ASDDF_MEAN

δ = 0.6

RCTVDF

l = 5, T = 50

ASDDF_RANK

δ = 0.5