Multiframe blind deconvolution of astronomical images.

@inproceedings{Schulz1993MultiframeBD,
  title={Multiframe blind deconvolution of astronomical images.},
  author={Timothy J. Schulz},
  year={1993}
}
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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