Research Article

A Residual-Based Kernel Regression Method for Image Denoising

Table 1

A comparison of different denosing methods.

ImageMethod
PSNRSSIMPSNRSSIMPSNRSSIMPSNRSSIMPSNRSSIM

LenaBF 27.560.8627.360.8527.120.8326.830.8126.510.79
SAF 30.200.8428.730.7827.430.7326.300.6825.300.63
Proposed31.650.9230.640.8929.670.8728.780.8427.950.81
Wiener [28] 28.980.8528.570.8227.710.8026.980.7826.270.76
Kuwahara [29] 27.160.8226.140.7725.120.7224.260.6823.440.63
NCD [30] 29.940.8628.990.8227.920.7626.940.7125.900.67
BiShrink [31] 31.170.9030.160.8829.410.8728.640.8428.180.83
NeighShrinkSURE [32] 31.520.9130.530.8929.690.8729.010.8528.400.84
OWT-SURELET [33] 31.370.9130.350.8929.560.8728.880.8528.310.84
O-ITV [34] 30.780.9130.040.8828.720.8426.790.7624.810.67
BM3D [35] 33.020.9332.050.9231.250.9130.530.8929.850.87

PirateBF 26.040.8125.910.8025.740.7825.540.7725.290.75
SAF 29.030.8627.850.8226.770.7725.780.7324.880.69
Proposed29.150.8928.500.8727.830.8527.170.8226.520.80
Wiener [28] 28.410.8527.210.8326.530.8125.930.7825.310.76
Kuwahara [29] 26.480.8325.540.7924.630.7523.770.7023.030.66
NCD [30] 28.500.8727.880.8427.120.8026.340.7625.520.72
BiShrink [31] 29.010.8828.090.8427.290.8126.690.7926.170.76
NeighShrinkSURE [32] 29.300.8828.300.8527.510.8326.900.8026.360.78
OWT-SURELET [33]29.410.8928.440.8627.690.8327.080.8126.570.78
O-ITV [34] 29.050.8728.610.8627.650.8326.090.7724.340.71
BM3D [35] 30.200.9129.170.8928.360.8728.190.8527.610.83

BoatBF 24.950.7924.830.7824.690.7624.510.7524.300.73
SAF 28.790.8627.660.8126.600.7625.610.7224.700.67
Proposed28.850.8828.180.8727.510.8426.850.8226.180.79
Wiener [28]28.210.8526.760.8226.070.8025.430.7724.900.74
Kuwahara [29] 25.900.8225.040.7724.230.7323.440.6922.720.65
NCD [30] 27.930.8627.340.8226.650.7825.800.7424.940.69
BiShrink [31] 29.180.8928.150.8627.320.8326.720.8126.080.78
NeighShrinkSURE [32] 29.410.8928.360.8727.520.8426.840.8126.260.79
OWT-SURELET [33] 29.470.8928.440.8627.630.8426.970.8126.410.79
O-ITV [34] 28.820.8728.320.8627.250.8325.860.7724.300.70
BM3D [35] 30.760.9229.800.9028.990.8828.430.8627.740.84

HouseBF30.770.8830.320.8629.810.8429.260.8228.680.80
SAF31.410.8029.590.7328.110.6726.870.6225.800.57
Proposed34.140.9132.620.8831.280.8530.080.8229.010.78
Wiener [28]31.570.8930.330.8629.340.8228.330.7827.490.75
Kuwahara [29]28.250.8027.010.7425.880.6824.930.6324.010.58
NCD [30]32.080.8430.500.7829.100.7227.730.6626.460.61
BiShrink [31] 34.250.9033.150.8832.240.8631.360.8430.870.83
NeighShrinkSURE [32] 34.900.9133.750.8932.810.8732.000.8631.280.84
OWT-SURELET [33]34.300.9133.150.8932.330.8731.460.8630.790.85
O-ITV [34] 33.880.9132.620.8930.340.8227.760.7125.370.61
BM3D [35] 36.470.9335.600.9234.670.9134.030.9033.300.88