Research Article

A New Boosting Algorithm for Shrinkage Curve Learning

Table 3

Comparison of several denoising results under different noise levels. Test images are from the Tid2008 database.

Image
OursImpvOursImpvOursImpv

Im0135.1335.1035.370.2430.4030.4230.850.4628.0528.0628.440.39
Im0236.4136.4537.240.8432.6132.6333.641.0330.8430.8631.861.02
Im0336.7536.7839.162.4133.0433.0535.342.3031.3331.3333.281.95
Im0436.8236.8938.161.3433.3133.3334.901.5831.7331.7433.291.55
Im0535.6035.6036.140.5330.8430.8531.410.5728.2928.3128.840.55
Im0635.4035.3736.060.6630.5830.5931.570.9928.1728.1829.181.01
Im0736.6736.6938.481.8132.8032.8034.231.4330.8830.8732.011.12
Im0835.3535.2135.550.1930.6430.6031.160.5128.1828.1628.760.58
Im0936.5036.5537.811.3132.5532.5633.871.3230.6130.6031.751.14
Im1036.5536.6137.711.1632.6432.6533.921.2830.7230.7131.871.14
Im1135.7235.7236.450.7331.2831.2932.150.8729.0829.0829.870.79
Im1236.4036.4237.661.2632.5732.5834.051.4830.8130.8032.151.34
Im1334.4734.2034.44−0.0329.3529.1929.830.4726.7526.6727.160.41
Im1435.5335.5035.870.3431.0731.0631.700.6328.8628.8729.440.57
Im1536.6436.6837.931.2932.9132.9234.371.4631.1831.1832.491.31
Im1636.3036.3137.681.3832.3032.3033.901.6030.4830.4731.921.44
Im1736.5436.5937.731.1932.6532.6633.941.2930.7330.7231.891.17
Im1835.8035.7636.070.2831.3731.3631.820.4529.1129.1129.540.43
Im1936.0136.0236.660.6431.7831.7932.480.7029.6429.6430.350.72
Im2036.6036.6338.091.4932.7032.7234.311.6130.7930.7932.191.40
Im2135.7135.6936.350.6431.1831.1931.940.7628.9128.9229.620.71
Im2235.9235.9236.490.5731.7831.7932.320.5329.8229.8230.280.46
Im2336.9437.0138.992.0533.3733.4035.472.0931.7031.7033.581.88
Im2436.1836.2036.830.6531.9331.9432.590.6629.7529.7630.390.64
Im2535.7535.7737.331.5830.8730.8932.051.1827.9427.9629.051.11
Image
OursImpvOursImpvOursImpv
Im0126.5426.5626.930.3825.4925.5225.920.4322.8522.8723.250.40
Im0229.7229.7430.721.0128.8728.9029.921.0526.3426.3627.781.44
Im0330.2230.2331.931.7129.3429.3730.981.6426.2826.4528.442.15
Im0430.7330.7332.241.5029.9629.9531.461.5027.4527.4328.941.49
Im0526.5926.6327.140.5525.3325.3825.870.5421.8521.8922.260.41
Im0626.6626.6927.580.9225.6225.6626.400.7823.0023.0323.370.37
Im0729.6029.5830.500.9128.5928.5829.420.8325.3925.4026.280.89
Im0826.5526.5527.170.6325.3625.3825.990.6321.9922.0022.600.62
Im0929.3429.3330.330.9928.3928.3829.290.9025.5125.5026.350.84
Im1029.4629.4530.501.0428.5228.5129.450.9325.7225.7226.470.75
Im1127.6527.6628.350.7126.5726.6127.230.6623.4423.5224.250.82
Im1229.7129.7030.891.1828.9128.9029.991.0826.4826.4627.541.05
Im1325.0925.0825.640.5423.9523.9624.480.5321.1021.1221.200.10
Im1427.4627.4727.930.4726.4426.4526.860.4123.6423.6423.950.32
Im1530.0630.0631.251.2029.1629.1930.371.2126.0226.1627.831.80
Im1629.3829.3730.611.2428.6028.6029.711.1126.4326.4327.491.05
Im1729.3729.4030.481.1028.2128.3029.411.2024.4724.5926.351.88
Im1827.6227.6528.040.4226.5426.5726.960.4223.6523.6624.060.41
Im1928.1828.1828.950.7727.0727.0727.890.8223.6723.6724.701.02
Im2029.5029.5130.761.2728.4928.5229.691.2025.2725.3726.531.26
Im2127.4627.4828.080.6226.4126.4326.970.5723.6123.6224.070.46
Im2228.5828.5929.000.4127.6927.6928.100.4125.1025.1025.650.56
Im2330.5830.5732.281.7029.6729.6631.241.5726.4026.5227.991.59
Im2428.3128.3428.950.6427.2527.2727.880.6324.3824.3824.760.38
Im2525.6925.7627.011.3223.9624.0325.421.4719.3419.4120.811.46