Research Article
Deblurring by Solving a TVp-Regularized Optimization Problem Using Split Bregman Method
Table 5
PSNRs of images in Figure
5.
| | Algorithms | PSNR values |
| | DeblurSps | Figure 5(a) | Figure 5(b) | Figure 5(c) | Figure 5(d) | | 29.23 dB | 25.58 dB | 29.09 dB | 27.95 dB |
| | TV_BOS | Figure 5(e) | Figure 5(f) | Figure 5(g) | Figure 5(h) | | 27.55 dB | 24.84 dB | 27.71 dB | 27.63 dB |
| | NLTV_BOS | Figure 5(i) | Figure 5(j) | Figure 5(k) | Figure 5(l) | | 27.86 dB | 24.73 dB | 28.05 dB | 27.30 dB |
| | SBMTV1/4 | Figure 5(m) | Figure 5(n) | Figure 5(o) | Figure 5(p) | | 29.97 dB | 27.47 dB | 30.75 dB | 29.88 dB |
| | SBMTV1/3 | Figure 5(q) | Figure 5(r) | Figure 5(s) | Figure 5(t) | | 30.37 dB | 27.49 dB | 31.12 dB | 30.61 dB |
| | SBMTV4/5 | Figure 5(u) | Figure 5(v) | Figure 5(w) | Figure 5(x) | | 29.99 dB | 27.51 dB | 30.23 dB | 30.15 dB |
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