Triple-correlation subplane reconstruction of photon-address stellar images

Details Triple-correlation subplane reconstruction of photon-address stellar images Triple-correlation subplane reconstruction of photon-address stellar images

Jul 1990

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1990josaa...7.1243m&link_type=abstract

Optical Society of America, Journal, A: Optics and Image Science (ISSN 0740-3232), vol. 7, July 1990, p. 1243-1250. Research sup

Astronomy and Astrophysics

Astronomy

23

Atmospheric Correction, Image Reconstruction, Seeing (Astronomy), Speckle Interferometry, Stellar Spectra, Algorithms, Angular Resolution, Imaging Techniques, Least Squares Method, Real Time Operation

Scientific paper

The performance of a photon-address, subplane implementation of the triple-correlation algorithm is evaluated for application to near-real-time, stellar speckle imaging at low-light levels. A simple least-squares relaxation algorithm for recovering object phase from the bispectrum is proposed and found to be consistently better than the usual recursive method. Photon-address speckle data from six simulated objects of different degrees of complexity, and from the binary stars Beta Del and Mu Ori, were used in this study.

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