Table 4 Algorithmic CPU times (in seconds) of different super-resolution methods
From: A multi-frame super-resolution method based on the variable-exponent nonlinear diffusion regularizer
Image | TV-SR | SWTV-SR | FTV-SR | ATV-SR | Our method |
|---|---|---|---|---|---|
Boat | 7.23 | 8.21 | 10.19 | 5.11 | 6.54 |
Bridge | 8.01 | 7.40 | 8.56 | 4.23 | 6.35 |
Building | 7.99 | 7.48 | 8.32 | 6.90 | 5.02 |
Fish | 7.31 | 6.55 | 9.02 | 5.34 | 5.91 |
Goldhill | 7.87 | 7.32 | 8.67 | 5.40 | 6.78 |
Lena | 5.12 | 8.90 | 10.00 | 7.98 | 5.07 |
Mandrill | 9.05 | 8.92 | 7.35 | 4.77 | 4.33 |
Wheel | 8.69 | 6.00 | 7.41 | 5.93 | 6.32 |
Mean | 7.66 | 7.60 | 8.69 | 5.71 | 5.79 |