Research Article
A Variational Bayesian Superresolution Approach Using Adaptive Image Prior Model
Table 4
Comparisons of PSNR and SSIM with Gaussian blur and white Gaussian noise with SNR = 10 dB and SNR = 30 dB.
| | SNR | | Bicubic | SAR | 1 | TV | BEP | Ours |
| Zebra | 10 dB | PSNR | 19.39 | 24.20 | 26.74 | 25.33 | 25.80 | 27.72 | SSIM | 0.6868 | 0.8364 | 0.8537 | 0.8510 | 0.8756 | 0.9167 | 30 dB | PSNR | 19.39 | 37.49 | 40.34 | 39.01 | 40.97 | 42.32 | SSIM | 0.6874 | 0.9128 | 0.9208 | 0.9194 | 0.9265 | 0.9491 |
| Car | 10 dB | PSNR | 26.77 | 34.98 | 36.09 | 36.01 | 36.26 | 36.55 | SSIM | 0.7793 | 0.8969 | 0.8956 | 0.8951 | 0.8325 | 0.9246 | 30 dB | PSNR | 26.78 | 44.11 | 46.14 | 46.17 | 47.58 | 49.01 | SSIM | 0.7812 | 0.9238 | 0.9246 | 0.9242 | 0.8624 | 0.9468 |
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