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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