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Table 1 The effect of artificial parameter ε n to denoising results (dB)

From: Multiplicative noise removal using primal–dual and reweighted alternating minimization

Test images NSV \( \varepsilon_{n} = \frac{1}{n + 2} \) \( \varepsilon_{n} = \frac{1}{{\left( {n + 2} \right)^{2} }} \) \( \varepsilon_{n} = \frac{1}{{2^{n + 1} }} \) \( \varepsilon_{n} = \frac{1}{2} \) \( \varepsilon_{n} = 0.1 \) New algorithm
Shape1 1/30 13.1487 13.2599 13.1100 12.0367 12.5180 15.6686
1/10 12.3661 11.6466 10.6260 12.2160 12.1057 12.3856
Shape2 1/30 19.4796 18.7226 18.8344 19.2633 18.7180 19.9760
1/10 15.8457 14.9985 15.6592 15.1059 15.5034 16.0540
Barbara 1/30 12.5857 12.2622 12.0967 12.0016 12.1491 13.0724
1/10 10.3475 9.4710 9.5138 9.4252 10.0087 10.3138
Lena256 1/30 13.5712 13.2305 13.2450 13.1860 13.0905 14.0905
1/10 10.5605 10.1580 10.1726 10.1229 10.0934 10.9022
Cameraman 1/30 16.4723 15.1124 16.0535 15.7450 16.1120 16.3157
1/10 13.1132 11.2307 11.9135 11.8059 13.0282 13.5304
Phantom 1/30 18.7465 17.4713 18.2407 18.0309 18.7136 20.3229
1/10 15.6020 14.5858 15.0706 15.0785 15.2035 15.6289
Average 14.3199 13.5125 13.7113 13.6682 13.9370 14.9384