Deconvolution of spatial-correlation spectra for high-resolution astronomical imaging

Details Deconvolution of spatial-correlation spectra for high-resolution astronomical imaging Deconvolution of spatial-correlation spectra for high-resolution astronomical imaging

Nov 1989

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1989optl...14.1165a&link_type=abstract

Optics Letters (ISSN 0146-9592), vol. 14, Nov. 1, 1989, p. 1165-1167. Research sponsored by USAF.

Physics

Optics

5

Astronomical Spectroscopy, Imaging Spectrometers, Speckle Interferometry, Spectral Correlation, Algorithms, High Resolution, Imaging Techniques, Iteration, White Noise

Scientific paper

The paper presents a reconstruction scheme that treats correlation spectra as convolutions of the object being imaged and iteratively deconvolves the spectra in a manner constrained by any a priori information present and by estimates of the noise on the spectra. The iterative scheme is based on a blind deconvolution algorithm (Ayers and Dainty, 1988) and is similar in concept to the phase-retrieval algorithm proposed by Fienup (1978) and the deconvolution algorithm of Davey et al. (1989). It is shown that the Knox-Thompson (1974) correlation spectrum is uniquely related to an object intensity distribution.

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