## 2 Materials and Methods
### Data Analysis and Statistics
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Acquisition Scenario** & **Number of Epochs** & **Upscaling Method** & **Mean Square Error (MSE)** & **Mean Intensity Error (MIE)** & **Mean Structural Similarity (SSIM)** & **Peak Signal to Noise Ratio (PSNR)** \\ \hline \multirow{4}{*}{With-Prior} & \multirow{4}{*}{100 Epochs} & RUNet & **9.51 (3.00)** & **1.74 (0.28)** & 96.44 (0.48) & **39.17 (1.12)** \\  & & DUNet & 10.72 (3.78) & 1.77 (0.38) & **97.62 (0.41)** & 38.61 (1.46) \\  & & AUNet & 15.90 (4.68) & 2.10 (0.38) & 96.17 (0.70) & 37.29 (1.25) \\ \cline{2-6}  & \multirow{4}{*}{100 Epochs} & RUNet & 8.67 (2.53) & 1.62 (0.29) & 97.45 (0.37) & 39.54 (1.20) \\  & & DUNet & **8.13 (2.54)** & **1.46 (0.24)** & **97.99 (0.35)** & **39.90 (1.12)** \\  & & AUNet & 10.71 (4.60) & 1.75 (0.46) & 97.78 (0.42) & 38.67 (1.71) \\ \hline \multirow{4}{*}{WithOut-Prior} & \multirow{4}{*}{100 Epochs} & Runet & **65.73 (19.08)** & 4.57 (0.72) & 83.69 (1.49) & **33.11 (0.63)** \\  & & DUNet & 66.07 (20.58) & **4.50 (0.78)** & **84.21 (1.53)** & **33.11 (0.70)** \\  & & AUNet & 76.26 (20.88) & 4.73 (0.75) & 80.08 (1.55) & 33.04 (0.65) \\ \cline{2-6}  & \multirow{4}{*}{100 Epochs} & RUNet & 66.64 (23.17) & 4.54 (0.86) & 84.16 (1.53) & 33.12 (0.72) \\  & & DUNet & **65.06 (21.57)** & **4.45 (0.81)** & **84.77 (1.51)** & **33.15 (0.71)** \\  & & AUNet & 75.25 (21.76) & 4.68 (0.79) & 83.26 (1.39) & 33.10 (0.70) \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Upscaling a 1/8 downsampled (22 \(\times\) 26) synLQ with the three Unets. The best results are represented in bold. The numbers represent the mean value followed by the standard deviation in parenthesis. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Acquisition Scenario** & **Number of Epochs** & **Upscaling Method** & **Mean Square Error (MSE)** & **Mean Intensity Error (MIE)** & **Mean Structural Similarity (SSIM)** & **Peak Signal to Noise Ratio (PSNR)** \\ \hline \multirow{4}{*}{With-Prior} & \multirow{4}{*}{100 Epochs} & RUNet & **9.20 (3.03)** & **1.58 (0.28)** & 97.54 (0.39) & **39.33 (1.18)** \\  & & DUNet & 9.24 (3.82) & 1.62 (0.39) & **97.87 (0.33)** & 39.22 (1.53) \\  & & AUNet & 11.76 (4.28) & 1.80 (0.39) & 97.24 (0.41) & 38.40 (1.38) \\ \cline{2-6}  & \multirow{4}{*}{100 Epochs} & RUNet & **6.36 (1.92)** & **1.29 (0.22)** & 98.25 (0.25) & **40.86 (1.15)** \\  & & DUNet & 6.73 (1.91) & 1.33 (0.21) & **98.26 (0.24)** & 40.58 (1.10) \\  & & AUNet & 8.39 (3.88) & 1.56 (0.43) & 98.17 (0.29) & 39.58 (1.76) \\ \hline \multirow{4}{*}{WithOut-Prior} & \multirow{4}{*}{100 Epochs} & Runet & **27.38 (10.41)** & **2.90 (0.58)** & **93.24 (0.73)** & **35.09 (1.04)** \\  & & DUNet & 29.81 (13.66) & 3.01 (0.70) & 92.93 (0.79) & 34.85 (1.13) \\ \cline{1-1}  & & AUNet & 40.07 (15.44) & 3.57 (0.77) & 91.67 (0.79) & 33.91 (0.99) \\ \cline{1-1} \cline{2-6}  & \multirow{4}{*}{100 Epochs} & RUNet & **25.22 (10.51)** & **2.73 (0.61)** & **94.12 (0.64)** & **35.43 (1.81)** \\  & & DUNet & 27.05 (12.04) & 2.84 (0.64) & 93.86 (0.70) & 35.16 (1.13) \\ \cline{1-1}  & & AUNet & 26.43 (10.60) & 2.81 (0.63) & 94.00 (0.67) & 35.23 (1.21) \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Upscaling a 1/4 downsampled (44 \(\times\) 52) synLQ with the three Unets. The best results are represented in bold. The numbers represent the mean value followed by the standard deviation in parenthesis.