Quantum-inspired computational imaging

Author:

Altmann Yoann1ORCID,McLaughlin Stephen1ORCID,Padgett Miles J.2,Goyal Vivek K3ORCID,Hero Alfred O.4ORCID,Faccio Daniele2ORCID

Affiliation:

1. School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, UK.

2. School of Physics and Astronomy, University of Glasgow, Glasgow, UK.

3. Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA.

4. Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA.

Abstract

More to imaging than meets the eye Traditional imaging techniques involve peering down a lens and collecting as much light from the target scene as possible. That requirement can set limits on what can be seen. Altmann et al. review some of the most recent developments in the field of computational imaging, including full three-dimensional imaging of scenes that are hidden from direct view (e.g., around a corner or behind an obstacle). High-resolution imaging can be achieved with a single-pixel detector at wavelengths for which no cameras currently exist. Such advances will lead to the development of cameras that can see through fog or inside the human body. Science , this issue p. eaat2298

Funder

National Science Foundation

Defense Advanced Research Projects Agency

U.S. Air Force

Engineering and Physical Sciences Research Council

US Department of Energy National Nuclear Security Adminstration

U.S. Army Research Office

Royal Academy of Engineering

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference91 articles.

1. Optical imaging by means of two-photon quantum entanglement;Pittman T. B.;Phys. Rev. A,1995

2. The physics of ghost imaging;Shapiro J. H.;Quantum Inform. Process.,2012

3. Computational ghost imaging

4. Single-pixel imaging via compressive sampling;Duarte M. F.;IEEE Signal Process. Mag.,2008

5. Performance analysis of low-flux least-squares single-pixel imaging;Shin D.;IEEE Signal Process. Lett.,2016

Cited by 133 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3