Research Article
Deblurring by Solving a TVp-Regularized Optimization Problem Using Split Bregman Method
Table 4
PSNRs of images in Figure
4.
| Algorithms | PSNR values |
| DeblurSps | Figure 4(a) | Figure 4(b) | Figure 4(c) | Figure 4(d) | 30.04 dB | 26.70 dB | 29.64 dB | 27.31 dB |
| TV_BOS
| Figure 4(e) | Figure 4(f) | Figure 4(g) | Figure 4(h) | 28.60 dB | 26.18 dB | 28.75 dB | 28.15 dB |
| NLTV_BOS | Figure 4(i) | Figure 4(j) | Figure 4(k) | Figure 4(l) | 28.90 dB | 26.33 dB | 29.07 dB | 27.84 dB |
| SBMTV1/4 | Figure 4(m) | Figure 4(n) | Figure 4(o) | Figure 4(p) | 31.65 dB | 28.83 dB | 31.27 dB | 28.52 dB |
| SBMTV1/3 | Figure 4(q) | Figure 4(r) | Figure 4(s) | Figure 4(t) | 31.76 dB | 29.20 dB | 31.49 dB | 28.95 dB |
| SBMTV4/5 | Figure 4(u) | Figure 4(v) | Figure 4(w) | Figure 4(x) | 31.64 dB | 29.22 dB | 31.57 dB | 29.65 dB |
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