Research Article
Regularized Multiframe Super-Resolution Image Reconstruction Using Linear and Nonlinear Filters
Table 1
The parameter settings of the synthetic dataset in the experiments.
| Parameter | Setting value |
| Number of LR images generated | 20 LR images | Lower and upper bound for translations | Randomly between −2 and 2 pixels | Lower and upper bound for rotation angles | Randomly from −0.5 to 0.5 | Width of isotropic Gaussian PSF | σ = 0.4 | Magnification factor | r = 2 | Standard deviation of an additive white Gaussian noise | 0.025 | Maximum number of iterations | 50 | Setup image prior for Lorentzian prior: | Regularization weight | λ = 0.0025 | Window size | h = 1.8 | Scale factor | α = 1 | Setup image prior for BTV prior: | Regularization weight | λ = 0.0025 | Window size | | Scale factor | α = 0.6 | Setup image prior for BEP prior: | Regularization weight | λ = 0.0025 | Window size | q = 1 | Scale factor | α = 1 | Threshold parameter | c = 0.2 |
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