Stellar image reconstruction by computationally-efficient triple correlation

Details Stellar image reconstruction by computationally-efficient triple correlation Stellar image reconstruction by computationally-efficient triple correlation

Nov 1990

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1990spie.1351..526m&link_type=abstract

IN: Digital image synthesis and inverse optics; Proceedings of the Meeting, San Diego, CA, July 9-13, 1990 (A92-18776 05-74). Be

Physics

Optics

Astronomical Photography, Image Correlators, Image Reconstruction, Photomasks, Speckle Interferometry, Diffraction Limited Cameras, Least Squares Method, Signal To Noise Ratios, Spectrum Analysis, Stellar Spectra

Scientific paper

The triple correlation algorithm employing a minimum of computation is evaluated as a candidate process for near-real-time, quick-look, stellar image reconstruction at the telescope. Computational efficiency is gained by exploiting the binary nature of the photon-list images and by using a small number of high SNR bispectrum subplanes. When compared to the Knox-Thompson algorithm extended to two, four and six subplanes, the fidelity of reconstruction by the TC process is better and less object dependent, even in the minimum-computation case of two planes.

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