Research Article

Sparse Dictionary-Based Magnetic Resonance Superresolution Imaging with Joint Loss Function Learning

Table 1

The PSNR/SSIM values using different block constructed dictionaries (superresolution 1 : 2).

Dictionary block sizeSample set 1Sample set 2Sample set 3Sample set 4Sample set 5

5 × 532.24/0.940728.87/0.899632.04/0.930230.59/0.914530.34/0.9208
6 × 632.30/0.941228.87/0.898432.06/0.930930.53/0.906030.31/0.9084
7 × 731.99/0.932828.75/0.887531.95/0.925130.32/0.902530.14/0.9003
8 × 831.62/0.929728.44/0.871631.65/0.919530.09/0.889429.89/0.8936
9 × 931.20/0.915828.21/0.865831.33/0.910229.80/0.872129.52/0.8835
10 × 1030.92/0.902127.95/0.851331.18/0.903129.60/0.868429.27/0.8748