NOAO Abstracts for SPIE Meeting in March

An Iterative Deconvolution Algorithm for Post Processing of AO Images

Authors:

Stuart M. Jefferies, Julian C. Christou, Matt Cheselka, and E. Keith Hege

Abstract:

We present an iterative deconvolution algorithm for Adaptive Optics (AO) imagery. The point spread function (PSF) measurements for AO are typically obtained on a point source reference nearby the target object. However, this PSF will differ from that of the target observations because of differences in the atmospheric statistics and the wavefront sensor sensitivity to object brightness and extent. Deconvolution of AO images thus becomes an ill-posed problem in which the object and the PSf are poorly known. Our approach to this problem is to solve for both the object and PSF simultaneously using as many physical constraints about the problem as possible. In this paper we present results from the application of our algorithm to both real and simulated data for a variety of sources: from point-like sources, to extended sources including galaxies, artificial satellites, and solar system objects.

[NOAO at the SPIE Meeting in March]

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Posted: 05Mar1998