文章基本信息

标题：Enhancing the recovery of a temporal sequence of images using joint deconvolution
本地全文：下载
作者：Piergiorgio Caramazza ; Kali Wilson ; Genevieve Gariepy 等
期刊名称：Scientific Reports
电子版ISSN：2045-2322
出版年度：2018
卷号：8
期号：1
页码：5257
DOI：10.1038/s41598-018-22811-x
语种：English
出版社：Springer Nature
摘要：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.