You Can Have It All – Fast Algorithms for Blind Deconvolution, Self-Calibration, and Demixing

Shuyang Ling; Thomas Strohmer

doi:10.1364/MATH.2017.MW1C.1

Imaging and Applied Optics 2017 (3D, AIO, COSI, IS, MATH, pcAOP)
OSA Technical Digest (online) (Optica Publishing Group, 2017),
paper MW1C.1
•https://doi.org/10.1364/MATH.2017.MW1C.1

You Can Have It All – Fast Algorithms for Blind Deconvolution, Self-Calibration, and Demixing

Shuyang Ling and Thomas Strohmer

Mathematics in Imaging 2017

San Francisco, California United States
26–29 June 2017
ISBN: 978-1-943580-29-3

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Deconvolution Methods (MW1C)

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S. Ling and T. Strohmer, "You Can Have It All – Fast Algorithms for Blind Deconvolution, Self-Calibration, and Demixing," in Imaging and Applied Optics 2017 (3D, AIO, COSI, IS, MATH, pcAOP), OSA Technical Digest (online) (Optica Publishing Group, 2017), paper MW1C.1.

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Abstract

We present new fast algorithms for solving the important problems of blind deconvolution, selfcalibration, and demixing. We disucss the performance of these algorithms, their theoretical foundations, and applications for image processing and for the Internet-of-Things.

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