Research Article
Image Superresolution Reconstruction via Granular Computing Clustering
Table 1
The RMSE of different methods for superresolution with magnification factor 3 with respect to the original images.
| | Images | Bicubic [19] | Sparse [18] | NNLasso [20] | GrC clustering |
| | Flower (330 × 171) | 4.0837 | 3.9240 | 6.5283 | 3.9153 (ρ = 0.7) | | Girl (255 × 258) | 6.8506 | 6.6383 | 9.9462 | 6.6318 (ρ = 0.7) | | Lenna (512 × 512) | 7.3515 | 6.9950 | 12.1007 | 6.9076 (ρ = 0.7) | | Female face (400 × 320) | 4.9347 | 4.7763 | 8.8875 | 4.4427 (ρ = 0.65) | | Male face (400 × 320) | 6.0613 | 5.7385 | 10.0067 | 5.3204 (ρ = 0.65) |
|
|
