3D super-resolution using generalized sampling expansion

@inproceedings{Shekarforoush19953DSU,
  title={3D super-resolution using generalized sampling expansion},
  author={Hassan Shekarforoush and Marc Berthod and Josiane Zerubia},
  booktitle={ICIP},
  year={1995}
}
A 3D super-resolution algorithm is proposed below, based on a probabilistic interpretation of the ndimensional version of Papoulis’ generalized sampling theorem. The algorithm is devised for recovering the albedo and the height map of a Lambertian surface in a Bayesian framework, using Markov Random Fields for modeling the a priori knowledge. 

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