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.

ParameterSetting value

Number of LR images generated20 LR images
Lower and upper bound for translationsRandomly between −2 and 2 pixels
Lower and upper bound for rotation anglesRandomly from −0.5  to 0.5 
Width of isotropic Gaussian PSFσ = 0.4
Magnification factorr = 2
Standard deviation of an additive white Gaussian noise0.025
Maximum number of iterations50
Setup image prior for Lorentzian prior:
 Regularization weightλ = 0.0025
 Window sizeh = 1.8
 Scale factorα = 1
Setup image prior for BTV prior:
 Regularization weightλ = 0.0025
 Window size
 Scale factorα = 0.6
Setup image prior for BEP prior:
 Regularization weightλ = 0.0025
 Window sizeq = 1
 Scale factorα = 1
 Threshold parameterc = 0.2