Multiframe blind deconvolution of astronomical images

@article{Schulz1993MultiframeBD,
  title={Multiframe blind deconvolution of astronomical images},
  author={T. Schulz},
  journal={Journal of The Optical Society of America A-optics Image Science and Vision},
  year={1993},
  volume={10},
  pages={1064-1073}
}
  • T. Schulz
  • Published 1993
  • Physics
  • Journal of The Optical Society of America A-optics Image Science and Vision
  • Maximum-likelihood estimation techniques are presented for the problem of forming object estimates from turbulence-degraded images when the point-spread functions are unknown. The inability of unconstrained maximum-likelihood methods to form meaningful estimates is acknowledged, and iterative algorithms are derived for estimating the object by using both a penalized maximum-likelihood method and a physically meaningful parameterization of the point-spread functions by phase errors distributed… CONTINUE READING
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