Computer Science – Performance
Scientific paper
Nov 1993
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1993spie.2029..321h&link_type=abstract
Proc. SPIE Vol. 2029, p. 321-330, Digital Image Recovery and Synthesis II, Paul S. Idell; Ed.
Computer Science
Performance
Scientific paper
Astronomical speckle holographic methods are shown to calibrate the image blurring effects of the large fraction of the energy in the side-lobes of the point spread function of a dilute aperture imaging system. This self calibration method works for imagery which contains a local point-like reference within the partially isoplanatic field of view. The reference may be a physical object within the (partially isoplanatic) field of view or it may be reconstructed by iterative deconvolution. Data reductions with an iterative deconvolution algorithm show even more striking performance than speckle holography. Atmospheric modeling was used to simulate multiple observations of the same target object with a 5 m dilute aperture pupil with different point spread functions. The iterative deconvolution algorithm recovers Fourier interpolated results for the equivalent 25 m filled aperture without requiring independent observations of a point-like reference source.
Cheselka Matt
Colucci D'nardo
Dekany Richard George
Hege Keith E.
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