Table 3 Mean structural similarity (MSSIM) measurements 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 | 0.7812 | 0.7709 | 0.7890 | 0.8102 | 0.8091 |
Bridge | 0.7901 | 0.8093 | 0.8312 | 0.8200 | 0.8712 |
Building | 0.7002 | 0.7856 | 0.7201 | 0.7412 | 0.7554 |
Fish | 0.7812 | 0.8231 | 0.8660 | 0.8700 | 0.8798 |
Goldhill | 0.7992 | 0.7085 | 0.7233 | 0.7310 | 0.7620 |
Lena | 0.8441 | 0.8552 | 0.8301 | 0.8400 | 0.8577 |
Mandrill | 0.8333 | 0.7898 | 0.7996 | 0.8206 | 0.8790 |
Wheel | 0.7802 | 0.7790 | 0.7980 | 0.7912 | 0.7993 |
Mean | 0.7887 | 0.7902 | 0.7947 | 0.8030 | 0.8227 |