Table 1 Summarized all of the experiment restoration results
From: Second-order TGV model for Poisson noise image restoration
Method | SNR | PSNR | RelErr | SSIM |
|---|---|---|---|---|
Test1 | ||||
PIDAL (Figueiredo and Bioucas-Dias 2010) | 25.33 | 30.30 | 0.054 | 0.904 |
PID-Split (Liu and Huang 2012) | 25.18 | 30.16 | 0.055 | 0.917 |
TGV | 25.31 | 30.32 | 0.053 | 0.908 |
Proposed | 25.48 | 30.45 | 0.053 | 0.922 |
Test2 | ||||
PIDAL (Figueiredo and Bioucas-Dias 2010) | 21.17 | 25.03 | 0.087 | 0.828 |
PID-Split (Liu and Huang 2012) | 21.38 | 25.36 | 0.084 | 0.837 |
TGV | 21.24 | 25.10 | 0.086 | 0.835 |
Proposed | 21.74 | 25.60 | 0.080 | 0.843 |
Test3 | ||||
PIDAL (Figueiredo and Bioucas-Dias 2010) | 21.50 | 27.87 | 0.0841 | 0.811 |
PID-Split (Liu and Huang 2012) | 21.49 | 27.86 | 0.0357 | 0.811 |
TGV | 20.64 | 27.01 | 0.092 | 0.801 |
Proposed | 21.01 | 27.23 | 0.0803 | 0.820 |