Advances in multiframe blind deconvolution for ground based telescopes

Timothy Schulz; Melena Abijaoude; David Gray; Mark Ostroot; Miguel Pineros; Timothy Holmes

doi:10.1117/12.2320332

14 November 2018 Advances in multiframe blind deconvolution for ground based telescopes

Timothy Schulz, Melena Abijaoude, David Gray, Mark Ostroot, Miguel Pineros, Timothy Holmes

Proceedings Volume 10772, Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2018; 107720F (2018) https://doi.org/10.1117/12.2320332
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

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.

Citation Download Citation

Timothy Schulz, Melena Abijaoude, David Gray, Mark Ostroot, Miguel Pineros, and Timothy Holmes "Advances in multiframe blind deconvolution for ground based telescopes", Proc. SPIE 10772, Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2018, 107720F (14 November 2018); https://doi.org/10.1117/12.2320332

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