Research Article

Digital Path Approach Despeckle Filter for Ultrasound Imaging and Video

Table 1

Comparison of the efficiency of the proposed filter and competitive methods using the PSNR and MSSIM quality measure on the static images.

File noise (σ2)GoldhillBoatsPhantomFetus
0.20.40.60.20.40.60.20.40.6

PSNR results (dB)
Noisy31.5219.6913.2530.6518.7512.6235.0523.0316.4822.46
Wiener30.7627.0922.2431.0126.6921.9037.3628.5721.1924.73
SRAD30.7327.2623.6932.0626.9623.9842.5230.8224.1418.62
NLM34.0627.3516.4935.4027.6815.5443.0730.3120.1527.27
OBNLM30.8728.2424.4332.6128.0624.1338.6430.3423.7618.78
PNLM34.2027.1822.7534.5227.3422.1342.2130.4323.0026.77
PPBF32.8027.1118.5632.6426.9120.0037.0129.5021.1525.93
DPAlast32.8327.7724.9632.6127.1024.2044.9834.6526.6326.69
EPF2D33.6327.9825.2433.4827.4924.2148.5737.6027.3227.34
MSSIM results
Noisy0.830.320.110.750.300.130.860.570.470.39
Wiener0.770.640.430.840.670.430.980.910.670.66
SRAD0.880.670.540.920.720.650.990.960.890.86
NLM0.880.650.200.930.690.250.990.950.560.90
OBNLM0.900.690.560.930.690.631.000.930.790.84
PNLM0.900.640.420.920.670.390.980.910.800.76
PPBF0.860.690.350.880.740.530.950.890.680.87
DPAlast0.870.690.590.890.730.590.990.950.880.85
EPF2D0.900.700.590.900.740.611.000.950.930.90