Blind multi-frame deconvolution by tangential iterative projections (TIP)

Journal article (2017)

Authors

D. Wilding Team Raf Van de Plas - Mechanical, Maritime and Materials Engineering
O.A. Soloviev ITMO University, Team Raf Van de Plas - Mechanical, Maritime and Materials Engineering , Flexible Optical B.V.
P. Pozzi Team Raf Van de Plas - Mechanical, Maritime and Materials Engineering
Gleb Vdovin Flexible Optical B.V., Team Raf Van de Plas - Mechanical, Maritime and Materials Engineering , ITMO University
M.H.G. Verhaegen Team Raf Van de Plas - Mechanical, Maritime and Materials Engineering
Research Group
Team Raf Van de Plas (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2017 D. Wilding, O.A. Soloviev, P. Pozzi, Gleb Vdovin, M.H.G. Verhaegen
DOI: https://doi.org/10.1364/OE.25.032305
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Published Date

2017

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Delft Center for Systems and Control

Research Group

Team Raf Van de Plas

Abstract

A methodology for retrieving the unknown object distribution and point-spread functions (PSFs) from a set of images acquired in the presence of temporal phase aberrations is presented in this paper. The method works by finding optimal complimentary linear filters for multi-frame deconvolution. The algorithm uses undemanding computational operations and few a priori, making it simple, fast and robust even at low signal-to-noise ratios. Results of numerical simulations and experimental tests are given as empirical proof, alongside comparisons with other algorithms found in the literature.

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