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Proceedings Paper

Convergence properties of hybrid blind deconvolution
Author(s): David Charles Dayton; Steven C. Sandven
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Paper Abstract

The multi-frame blind deconvolution algorithm is considered for processing astronomical speckle images when only a few frames of data are collected. It has been noted that when the speckle data contains even moderate amounts of shot noise the algorithm often converges to the trivial point solution. The convergence properties of the Knox-Thompson algorithm are well understood, however when only a few frames of data are used, the algorithm often contains false structure referred to as processing artifacts. In this paper we consider penalized blind convolution as a `clean up' for the Knox-Thompson algorithm. The utility of this combination is demonstrated images of the Jovian moon Ganymede taken on a 1.5 meter telescope.

Paper Details

Date Published: 15 June 1995
PDF: 7 pages
Proc. SPIE 2471, Atmospheric Propagation and Remote Sensing IV, (15 June 1995); doi: 10.1117/12.211936
Show Author Affiliations
David Charles Dayton, Applied Technology Associates, Inc. (United States)
Steven C. Sandven, Applied Technology Associates, Inc. (United States)


Published in SPIE Proceedings Vol. 2471:
Atmospheric Propagation and Remote Sensing IV
J. Christopher Dainty, Editor(s)

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