Research Article
Local and Nonlocal Regularization to Image Interpolation
Table 2
Comparison of different interpolation algorithms using MSSIM values.
| Image | NEDI | LMMSE | BSAI | AGMS | NLBV | Proposed |
| Hat | 0.8575 | 0.8548 | 0.8590 | 0.8807 | 0.8949 | 0.9037 | Parrot | 0.9018 | 0.9037 | 0.9066 | 0.9182 | 0.9378 | 0.9433 | Boat | 0.7786 | 0.7823 | 0.7862 | 0.8309 | 0.8653 | 0.8634 | Race | 0.7286 | 0.7367 | 0.7445 | 0.7732 | 0.8412 | 0.8344 | Eye | 0.8834 | 0.8879 | 0.8883 | 0.9226 | 0.9443 | 0.9430 | Ball | 0.9093 | 0.9147 | 0.9149 | 0.9468 | 0.9595 | 0.9630 | Flower | 0.8311 | 0.8335 | 0.8401 | 0.8741 | 0.9073 | 0.9131 | Barbara | 0.9046 | 0.9011 | 0.9030 | 0.9391 | 0.9811 | 0.9650 | Fingerprint | 0.8911 | 0.8942 | 0.8973 | 0.9364 | 0.9420 | 0.9480 |
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