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. 2023 Jun 19;23(12):5698. doi: 10.3390/s23125698

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