Improving resolution by image registration
CVGIP: Graphical Models and Image Processing
Augmented Lagrangian Duality and Nondifferentiable Optimization Methods in Nonconvex Programming
Journal of Global Optimization
Limits on Super-Resolution and How to Break Them
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Superresolution video reconstruction with arbitrary sampling lattices and nonzero aperture time
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
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Modified subgradient method has been employed to solve super-resolution restoration problem. The technique uses augmented Lagrangians for nonconvex minimization problems with equality constraints. The subgradient of the constructed dual function is used for a measure. Initial results on comparative studies have shown that the technique is very promising.