SEAGLE: Robust Computational Imaging under Multiple Scattering

H.-Y. Liu; D. Liu; H. Mansour; P. T. Boufounos; L. Waller; U. S. Kamilov

doi:10.1364/MATH.2017.MM4C.1

Imaging and Applied Optics 2017 (3D, AIO, COSI, IS, MATH, pcAOP)
OSA Technical Digest (online) (Optica Publishing Group, 2017),
paper MM4C.1
•https://doi.org/10.1364/MATH.2017.MM4C.1

SEAGLE: Robust Computational Imaging under Multiple Scattering

H.-Y. Liu, D. Liu, H. Mansour, P. T. Boufounos, L. Waller, and U. S. Kamilov

Mathematics in Imaging 2017

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

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Multiple Scattering and Turbid Media (MM4C)

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H. -. Liu, D. Liu, H. Mansour, P. T. Boufounos, L. Waller, and U. S. Kamilov, "SEAGLE: Robust Computational Imaging under Multiple Scattering," in Imaging and Applied Optics 2017 (3D, AIO, COSI, IS, MATH, pcAOP), OSA Technical Digest (online) (Optica Publishing Group, 2017), paper MM4C.1.

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Abstract

Multiple scattering of light as it passes through an object is a fundamental problem limiting the performance of imaging systems. We describe a new technique for robust imaging under multiple scattering based on a nonlinear scattering model and sparse-regularization.

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