Table 2.
The statistical parameters of the model’s PSNR metrics were analyzed on the aforementioned Figure 8.
| Reconstruction Algorithm | N | PSNR | SD | t | p |
|---|---|---|---|---|---|
| No SRR. MC-not-applied | 100 | 26.09 | 0.01 | −1.291 | 0.131 |
| B spline. MC-not-applied | 100 | 28.01 | 0.01 | −0.192 | 0.621 |
| Yang’s N-R-M-3D [57] | 100 | 31.20 | 0.01 | −0.592 | 0.382 |
| Lim’s E-D-R-N-S-I-S-R [58] | 100 | 30.21 | 0.01 | −0.292 | 0.312 |
| Zhang’s R-D-N-I-S-R [59] | 100 | 29.91 | 0.01 | −0.391 | 0.391 |
| RCAN SRR [60] | 100 | 31.23 | 0.01 | −0.311 | 0.231 |
| MRI Super-Resolution using GAN and DWT [43] | 100 | 31.78 | 0.01 | −0.232 | 0.159 |
| Brain MRI SRR using 3DGAN [44] | 100 | 32.66 | 0.01 | −0.114 | 0.162 |
| The author’s method | 100 | 34.23 | 0.00 | −1.001 | 0.012 |