Research Article

Color Image Denoising Based on Guided Filter and Adaptive Wavelet Threshold

Table 1

PSNR of the proposed method, bilateral filtering, and adaptive wavelet.

Noise variance0.010.030.010.030.010.03

Image 1 ()Image 2 ()Image 3 ()
Adaptive wavelet26.704825.450728.080126.482127.796726.1699
Bilateral filtering22.575122.016723.155122.611822.756022.1802
Nonlocal means29.976527.487130.141527.677730.191027.6823
BM3D28.923526.927630.421527.890130.945728.0957
Proposed method39.563435.312941.564736.026740.810135.5930
Image 4 ()Image 5 ()Image 6 ()
Adaptive wavelet25.237524.272423.466322.733225.657624.5766
Bilateral filtering22.607421.941522.107621.549422.301621.7254
Nonlocal means26.651225.328725.358824.312027.881326.2105
BM3D25.515724.496824.039423.255628.062126.3334
Proposed method37.026534.134433.853532.136436.829433.9588
Image 7 ()Image 8 ()Image 9 ()
Adaptive wavelet27.570625.913029.003926.990821.474620.8466
Bilateral filtering23.211622.408023.137322.426821.483421.0023
Nonlocal means29.415527.073631.318128.253423.727323.0137
BM3D29.144326.912032.059028.619721.764521.2712
Proposed method39.141434.892641.225635.794331.404130.0693
Image 10 ()Image 11 ()Image 12 ()
Adaptive wavelet29.424727.526826.744325.420115.907516.9781
Bilateral filtering23.672823.058122.298421.797322.775122.6673
Nonlocal means30.310627.979428.743926.622717.410517.2673
BM3D30.814628.378031.874428.492231.036630.1990
Proposed method40.219135.937138.709635.029524.425625.7756