Multiframe blind deconvolution of astronomical images
Document Type
Article
Publication Date
1-1-1993
Abstract
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 over an aperture. © 1993 Optical Society of America.
Publication Title
Journal of the Optical Society of America A: Optics and Image Science, and Vision
Recommended Citation
Schulz, T.
(1993).
Multiframe blind deconvolution of astronomical images.
Journal of the Optical Society of America A: Optics and Image Science, and Vision,
10(5), 1064-1073.
http://doi.org/10.1364/JOSAA.10.001064
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/13286
