Astronomical imaging by filtered weighted-shift-and-add technique
Author(s) -
Erez N. Ribak
Publication year - 1986
Publication title -
journal of the optical society of america a
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.803
H-Index - 158
eISSN - 1520-8532
pISSN - 1084-7529
DOI - 10.1364/josaa.3.002069
Subject(s) - speckle pattern , optics , point spread function , physics , convolution (computer science) , filter (signal processing) , speckle noise , speckle imaging , wiener filter , optical transfer function , computer science , computer vision , artificial intelligence , artificial neural network
The weighted-shift-and-add speckle imaging technique is analyzed using simple assumptions. The end product is shown to be a convolution of the object with a typical point-spread function (psf) that is similar in shape to the telescope psf and depends marginally on the speckle psf. A filter can be applied to each data frame before locating the maxima, either to identify the speckle locations (matched filter) or to estimate the instantaneous atmospheric psf (Wiener filter). Preliminary results show the power of the technique when applied to photon-limited data and to extended objects.
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