Super-resolution method using sparse regularization for point-spread function recovery

@article{Mboula2014SuperresolutionMU,
  title={Super-resolution method using sparse regularization for point-spread function recovery},
  author={Fred Ngol{\`e} Mboula and Jean-Luc Starck and S. Ronayette and K. Okumura and J. Amiaux},
  journal={ArXiv},
  year={2014},
  volume={abs/1410.7679}
}
In large-scale spatial surveys, such as the forthcoming ESA Euclid mission, images may be undersampled due to the optical sensors sizes. Therefore, one may consider using a super-resolution (SR) method to recover aliased frequencies, prior to further analysis. This is particularly relevant for point-source images, which provide direct measurements of the instrument point-spread function (PSF). We introduce SPRITE, SParse Recovery of InsTrumental rEsponse, which is an SR algorithm using a sparse… Expand
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