Table 2 PSNR and SSIM averaging over six images for increasing radius d on Poisson noise
From: A neighborhood regression approach for removing multiple types of noises
| Â | d = 1 | d = 2 | d = 3 | d = 4 | d = 5 | d = 6 |
|---|---|---|---|---|---|---|
PSNR | 31.21 | 31.93 | 32.09 | 32.18 | 32.22 | 32.25 |
SSIM | 0.813 | 0.839 | 0.842 | 0.844 | 0.845 | 0.845 |