Enhancing the recovery of a temporal sequence of images using joint deconvolution

Piergiorgio Caramazza, Kali Wilson, Geneviève Gariépy, Jonathan Leach, Stephen McLaughlin, Daniele Faccio, Yoann Altmann

Research output: Contribution to journalArticle

Abstract

In this work, we address the reconstruction of spatial patterns that are encoded in light fields associated with a series of light pulses emitted by a laser source and imaged using photon-counting cameras, with an intrinsic response significantly longer than the pulse delay. Adopting a Bayesian approach, we propose and demonstrate experimentally a novel joint temporal deconvolution algorithm taking advantage of the fact that single pulses are observed simultaneously by different pixels. Using an intensified CCD camera with a 1000-ps gate, stepped with 10-ps increments, we show the ability to resolve images that are separated by a 10-ps delay, four time better compared to standard deconvolution techniques.
Original languageEnglish
Article number5257
JournalScientific Reports
Volume8
DOIs
Publication statusPublished - 27 Mar 2018

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pulses
CCD cameras
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cameras
photons
lasers

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Caramazza, Piergiorgio ; Wilson, Kali ; Gariépy, Geneviève ; Leach, Jonathan ; McLaughlin, Stephen ; Faccio, Daniele ; Altmann, Yoann. / Enhancing the recovery of a temporal sequence of images using joint deconvolution. In: Scientific Reports. 2018 ; Vol. 8.
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Enhancing the recovery of a temporal sequence of images using joint deconvolution. / Caramazza, Piergiorgio; Wilson, Kali; Gariépy, Geneviève; Leach, Jonathan; McLaughlin, Stephen; Faccio, Daniele; Altmann, Yoann.

In: Scientific Reports, Vol. 8, 5257, 27.03.2018.

Research output: Contribution to journalArticle

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AU - McLaughlin, Stephen

AU - Faccio, Daniele

AU - Altmann, Yoann

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