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Proceedings Paper

Advances in multiframe blind deconvolution for ground based telescopes
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Paper Abstract

Recent advances are presented for multiframe blind deconvolution (MFBD) of ground based telescope imagery for low-earth orbit objects. The iterative algorithm uses the maximum likelihood estimation optimization criterion. It is modeled from a previous well-known algorithm called the expectation-maximization (EM) algorithm. New renditions of the algorithm simplify the phase reconstruction, thereby reducing the complexity of the original EM algorithm. Examples are shown, with and without adaptive optics (AO). The system is being designed for on-the-fly streaming video operation.

Paper Details

Date Published: 14 November 2018
PDF: 12 pages
Proc. SPIE 10772, Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2018, 107720F (14 November 2018); doi: 10.1117/12.2320332
Show Author Affiliations
Timothy Schulz, Michigan Technological Univ. (United States)
Melena Abijaoude, Lickenbrock Technologies, LLC (United States)
David Gray, Lickenbrock Technologies, LLC (United States)
Mark Ostroot, Lickenbrock Technologies, LLC (United States)
Miguel Pineros, Lickenbrock Technologies, LLC (United States)
Timothy Holmes, Lickenbrock Technologies, LLC (United States)


Published in SPIE Proceedings Vol. 10772:
Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2018
Jean J. Dolne; Philip J. Bones, Editor(s)

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