Self-deconvolution for shift-and-add imaging

Details Self-deconvolution for shift-and-add imaging Self-deconvolution for shift-and-add imaging

Jun 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005optl...30.1309s&link_type=abstract

Optics Letters, Volume 30, Issue 11, pp. 1309-1311 (2005).

Physics

Optics

2

Deconvolution, Image Reconstruction, Light Interferometry, Astronomical Techniques

Scientific paper

A shift-and-add (SAA) method is used to restore atmospherically degraded images. The operation of the SAA method is simple, but the deconvolution method of SAA images remains to be developed, especially for extended objects. We propose to deconvolve a SAA image of an extended object by use of a self-deconvolving data reconstruction algorithm (SeDDaRA). Computer simulations show the effectiveness of the SeDDaRA to SAA images. It is also shown that use of the SAA method after each data frame is self-deconvolved leads to a better reconstruction.

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