# Boosting Noise Reduction Effect via Unsupervised Fine-Tuning Strategy
## 4 Experimental Results
### Experimental Results and Analysis
\begin{table}
\begin{tabular}{l c c c c c c c c c c} \hline \hline
**Methods** & **BM3D** & **DnCNN** & **FFDNet** & **DIP** & **DAGL** & **DeamNet** & **DRUNet** & **IRCNN** & **SwinIR** & **Stage1** & **Stage2** \\ \hline Cameraman & 31.90 & 32.14 & 32.42 & 30.79 & 32.69 & 32.76 & 32.91 & 32.53 & 33.04 & 33.02 & **33.16** \\ House & 34.92 & 34.96 & 35.01 & 33.89 & 35.76 & 35.68 & 35.83 & 34.88 & 35.91 & 36.18 & **36.29** \\ Peppers & 32.71 & 33.09 & 33.10 & 32.03 & 33.41 & 33.42 & 33.56 & 33.21 & 33.66 & 33.63 & **33.75** \\ Starfish & 31.12 & 31.92 & 32.02 & 31.03 & 32.61 & 32.50 & 32.44 & 31.96 & 32.57 & 32.58 & **32.65** \\ Monarch & 31.95 & 33.08 & 32.77 & 31.55 & 33.48 & 33.51 & 33.61 & 32.98 & 33.68 & 33.73 & **33.83** \\ Airplane & 31.10 & 31.54 & 31.58 & 30.42 & 31.95 & 31.90 & 31.99 & 31.66 & 32.08 & 32.07 & **32.20** \\ Eagle & 31.31 & 31.64 & 31.77 & 30.60 & 31.96 & 32.01 & 32.13 & 31.88 & 32.16 & 32.14 & **32.31** \\ Lena & 34.23 & 34.52 & 34.63 & 33.42 & 34.84 & 34.86 & 34.93 & 34.50 & 34.97 & 34.99 & **35.04** \\ Barbara & 33.04 & 32.03 & 32.50 & 29.46 & 33.73 & 33.16 & 33.44 & 32.41 & **33.98** & 33.56 & 33.85 \\ Boat & 32.09 & 32.36 & 32.35 & 31.09 & 32.64 & 32.62 & 32.71 & 32.36 & 32.81 & 32.83 & **32.97** \\ Man & 31.90 & 32.37 & 32.40 & 30.77 & 32.52 & 32.52 & 32.61 & 32.36 & 32.67 & 32.63 & **32.68** \\ Couple & 32.04 & 32.38 & 32.45 & 30.86 & 32.67 & 32.68 & 32.78 & 32.37 & 32.83 & 32.81 & **32.89** \\ Avg. & 32.36 & 32.67 & 32.75 & 31.33 & 33.19 & 33.13 & 33.25 & 32.76 & 33.36 & 33.35 & **33.47** \\ \hline \hline \end{tabular}
\end{table} 
Table 5: PSNR values of different methods on 12 images in the Set12 dataset with a noise level at 15. The bold part represent the best PSNR result. \begin{table}
\begin{tabular}{l c c c c c c c c c c c} \hline \hline
**Methods** & **BM3D** & **DnCNN** & **FFDNet** & **DIP** & **DAGL** & **DeamNet** & **DRUNet** & **IRCNN** & **SwinIR** & **Stage1** & **Stage2** \\ \hline Cameraman & 29.38 & 30.03 & 33.06 & 28.36 & 30.32 & 30.38 & 30.61 & 30.12 & 30.69 & 30.72 & **30.98** \\ House & 32.86 & 33.04 & 33.27 & 31.61 & 33.80 & 33.73 & 33.93 & 33.02 & 33.91 & 34.18 & **34.45** \\ Peppers & 30.20 & 30.73 & 30.79 & 29.20 & 31.04 & 31.09 & 31.22 & 30.81 & 31.28 & 31.31 & **31.49** \\ Starfish & 28.52 & 29.24 & 29.33 & 28.58 & 30.09 & 29.89 & 29.88 & 29.21 & 29.96 & 30.01 & **30.17** \\ Monarch & 29.30 & 30.37 & 30.14 & 28.97 & 30.72 & 30.72 & 30.89 & 30.20 & 30.95 & 31.02 & **31.21** \\ Airplane & 28.42 & 29.06 & 29.05 & 27.93 & 29.41 & 29.30 & 29.35 & 29.05 & 29.44 & 29.47 & **29.80** \\ Eagle & 28.94 & 29.35 & 29.43 & 28.07 & 29.54 & 29.60 & 29.72 & 29.47 & 29.75 & 29.75 & **30.04** \\ Lena & 32.07 & 32.40 & 32.59 & 31.32 & 32.84 & 32.85 & 32.97 & 32.40 & 32.98 & 33.00 & **33.07** \\ Barbara & 30.66 & 29.67 & 29.98 & 28.94 & 31.49 & 30.74 & 31.23 & 29.93 & 31.69 & 31.39 & **31.64** \\ Boat & 29.87 & 30.19 & 30.23 & 29.08 & 30.49 & 30.48 & 30.58 & 30.17 & 30.64 & 30.73 & **30.83** \\ Man & 29.59 & 30.06 & 30.10 & 28.82 & 30.20 & 30.17 & 30.30 & 30.02 & 30.32 & 30.33 & **30.38** \\ Couple & 29.70 & 30.05 & 30.18 & 28.61 & 30.38 & 30.44 & 30.56 & 30.05 & 30.57 & 30.60 & **30.70** \\ Avg. & 29.96 & 30.35 & 30.43 & 29.12 & 30.86 & 30.78 & 30.94 & 30.37 & 31.01 & 31.04 & **31.23** \\ \hline \hline \end{tabular}
\end{table} 
Table 6: PSNR values of different methods on 12 images in the Set12 dataset with a noise level at 25. The bold part represent the best PSNR result.