Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images

@article{Elad1997RestorationOA,
  title={Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images},
  author={Michael Elad and Arie Feuer},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  year={1997},
  volume={6 12},
  pages={
          1646-58
        },
  url={https://api.semanticscholar.org/CorpusID:1724361}
}
A hybrid method combining the simplicity of theML and the incorporation of nonellipsoid constraints is presented, giving improved restoration performance, compared with the ML and the POCS approaches.

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