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

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