Blind-deblurring: learning based approach

Valentin Debarnot; Paul Escande; Thomas Mangeat; Pierre Weiss

doi:10.1364/MATH.2019.MM1D.3

Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2019),
paper MM1D.3
•https://doi.org/10.1364/MATH.2019.MM1D.3

Blind-deblurring: learning based approach

Valentin Debarnot, Paul Escande, Thomas Mangeat, and Pierre Weiss

Mathematics in Imaging 2019

Munich Germany
24–27 June 2019
ISBN: 978-1-943580-63-7

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Image Restoration (MM1D)

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V. Debarnot, P. Escande, T. Mangeat, and P. Weiss, "Blind-deblurring: learning based approach," in Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP), OSA Technical Digest (Optica Publishing Group, 2019), paper MM1D.3.

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Abstract

We propose a scalable method to find a subspace of low-rank tensors that simultaneously approximates a set of integral operators, e.g. spatially varying blur. This aims to improve the identifiability of complex linear operators in blind inverse problems.

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