Physics – Optics
Scientific paper
Feb 1990
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1990josaa...7..318t&link_type=abstract
Optical Society of America, Journal, A: Optics and Image Science (ISSN 0740-3232), vol. 7, Feb. 1990, p. 318-322. Research suppo
Physics
Optics
Atmospheric Turbulence, Data Correlation, Image Reconstruction, Exposure, Factorization, Wave Diffraction
Scientific paper
A numerical technique for reconstructing discrete one-dimensional objects from images degraded by light propagation through a turbulent atmosphere is developed analytically and demonstrated. In this approach, noisy correlation data from short-exposure images are used to estimate the object autocorrelation function; the minimum-phase factor is estimated by Levinson/Schur recursion of one-dimensional linear-prediction theory; noisy long-exposure data are used to estimate the number of factors in the all-pass part of the object; these factors are found by a least-squares method; and the minimum-phase and all-pass factors are combined to reconstruct the object. Results from reconstruction of a simulated object from artificially degraded data sets are presented graphically, and the applicability of the technique to one-dimensional IR astronomy is indicated.
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