Research Article
An Image Denoising Method Based on BM4D and GAN in 3D Shearlet Domain
Table 1
The results of the proposed method for Gaussian white noise with different standard deviations.
| Image/PSNR | | | | | | | | | |
| Cameraman | 39.10 | 34.79 | 33.01 | 31.43 | 30.12 | 29.37 | 28.69 | 27.80 | 26.78 | Barbara | 38.47 | 35.08 | 34.15 | 32.59 | 31.27 | 30.11 | 29.20 | 28.05 | 27.98 | Man | 38.01 | 35.49 | 32.76 | 31.59 | 30.30 | 29.12 | 28.93 | 27.81 | 26.82 | Couple | 38.58 | 35.39 | 33.62 | 31.36 | 30.45 | 29.73 | 28.99 | 28.40 | 27.01 | Hill | 38.47 | 34.88 | 32.90 | 31.63 | 30.81 | 30.16 | 29.59 | 28.77 | 27.96 | Lena | 38.81 | 35.99 | 33.94 | 33.23 | 32.27 | 31.59 | 30.91 | 30.11 | 29.88 | House | 39.02 | 36.47 | 35.17 | 33.97 | 33.20 | 32.68 | 32.09 | 31.12 | 30.79 | F16 | 39.70 | 36.85 | 35.39 | 34.51 | 33.17 | 32.01 | 31.76 | 30.99 | 30.51 | Peppers | 37.39 | 34.28 | 33.01 | 31.91 | 31.67 | 30.73 | 30.88 | 29.70 | 29.15 | Baboon | 35.96 | 31.29 | 28.18 | 27.60 | 26.16 | 25.92 | 25.47 | 25.01 | 24.89 |
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