Research Article

Edge Preserved Speckle Noise Reduction Using Integrated Fuzzy Filters

Table 3

Comparison of performance parameters for different images with noise variance equal to 0.01.

MethodsLMSE
LenaDarkhairBlondePeppersMandrillBarbaraLenaDarkhairBlondePeppers

GF6.41022.7452.41911.5953.3210.8820.3260.1670.4840.197
WF1.2555.8950.6150.2870.6540.3840.4120.1410.6030.783
GW1.1014.5850.5811.2670.6030.3900.4310.1430.6180.442
GF11.9674.2892.8916.7511.4621.323−0.1500.012−0.203−0.526
GF21.0592.0760.9100.4780.9290.9830.3300.1210.3580.626
GF31.1371.6641.5453.0381.0741.0330.0670.083−0.056−0.269
GF40.8331.7540.8940.7660.9251.0560.4110.0920.3640.487
GWF11.9712.4322.2975.9481.2411.322−0.153−0.002−0.285−0.572
GWF20.7941.1780.7630.4080.8810.9980.4550.2020.4890.713
GWF31.1361.2831.3552.7261.0221.0340.0670.103−0.068−0.289
GWF40.8371.0610.8960.7750.9000.9060.4060.2140.3690.487

MethodsSNR (dB)PSNR (dB)
LenaDarkhairBlondePeppersMandrillBarbaraLenaDarkhairBlondePeppers

GF42.5543.2642.4842.6742.1542.1026.9327.8826.3526.92
WF51.9752.5650.8654.3047.1845.4031.6432.5330.5432.74
GW43.8250.5038.9129.1534.2633.5727.5731.4924.5820.16
GF143.7953.7339.5529.8634.5833.4727.5533.1124.9020.51
GF250.5954.3747.5847.4339.1337.7630.9533.4328.9229.30
GF352.1457.6448.6548.2438.4937.5831.7335.0629.4529.70
GF447.8857.0843.8636.1637.4136.5929.6034.7927.0623.66
GWF147.8957.3243.5736.5036.5336.3929.6034.9126.9123.83
GWF251.3557.6747.5244.0839.1636.4531.3335.0228.8927.63
GWF351.3257.8647.4944.2038.1543.8731.3235.1828.8727.68
GWF451.7051.2950.6951.2442.1945.7531.5031.8930.4631.20