Research Article
Deblurring by Solving a TVp-Regularized Optimization Problem Using Split Bregman Method
Table 3
PSNRs of images in Figure
3.
| Algorithms | PSNR values |
| DeblurSps | Figure 3(a) | Figure 3(b) | Figure 3(c) | Figure 3(d) | 29.26 dB | 25.51 dB | 29.11 dB | 27.94 dB |
| TV_BOS | Figure 3(e) | Figure 3(f) | Figure 3(g) | Figure 3(h) | 27.37 dB | 24.64 dB | 27.56 dB | 27.56 dB |
| NLTV_BOS | Figure 3(i) | Figure 3(j) | Figure 3(k) | Figure 3(l) | 27.80 dB | 24.76 dB | 27.98 dB | 27.18 dB |
| SBMTV1/4 | Figure 3(m) | Figure 3(n) | Figure 3(o) | Figure 3(p) | 29.59 dB | 27.11 dB | 30.55 dB | 29.20 dB |
| SBMTV1/3 | Figure 3(q) | Figure 3(r) | Figure 3(s) | Figure 3(t) | 29.68 dB | 27.02 dB | 30.75 dB | 29.61 dB |
| SBMTV4/5 | Figure 3(u) | Figure 3(v) | Figure 3(w) | Figure 3(x) | 29.57 dB | 27.05 dB | 30.01 dB | 29.66 dB |
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