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Proceedings Paper

Bispectral-based optimization algorithms for speckle imaging
Author(s): Dennis M. Goodman; Taylor W. Lawrence; J. Patrick Fitch; Erik M. Johansson
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Paper Abstract

We present results of a horizontal path imaging experiment using a 0.5-m telescope focused on a target 1.2 km away. We consider an extended representation of a satellite with grey scale and size variations. We imaged at 0.7 µm and found an average atmospheric degradation factor of D/ro = 17. We used a slow read-rate, bare CCD detector; thus, we had to deal with additive measurement noise. Our image reconstruction algorithms are based on the complex bispectrum, and we have demonstrated diffraction-limited imaging down to light levels approaching a few photons per speckle per resolution area. We have paid careful attention to the effects of additive noise on the reconstruction process and have shown that they can be adequately overcome. We present some new algorithms based on conjugate gradients and least squares. We demonstrate that these algorithms can improve image quality.

Paper Details

Date Published: 1 November 1990
PDF: 15 pages
Proc. SPIE 1351, Digital Image Synthesis and Inverse Optics, (1 November 1990); doi: 10.1117/12.23664
Show Author Affiliations
Dennis M. Goodman, Lawrence Livermore National Lab. (United States)
Taylor W. Lawrence, Lawrence Livermore National Lab. (United States)
J. Patrick Fitch, Lawrence Livermore National Lab. (United States)
Erik M. Johansson, Lawrence Livermore National Lab. (United States)


Published in SPIE Proceedings Vol. 1351:
Digital Image Synthesis and Inverse Optics
Arthur F. Gmitro; Paul S. Idell; Ivan J. LaHaie, Editor(s)

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