Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1126/science.aat2298 |
Quantum-inspired computational imaging | |
Altmann, Yoann1; McLaughlin, Stephen1; Padgett, Miles J.2; Goyal, Vivek K.3; Hero, Alfred O.4; Faccio, Daniele2 | |
2018-08-17 | |
发表期刊 | SCIENCE
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ISSN | 0036-8075 |
EISSN | 1095-9203 |
出版年 | 2018 |
卷号 | 361期号:6403页码:660-+ |
文章类型 | Review |
语种 | 英语 |
国家 | Scotland; USA |
英文摘要 | Computational imaging combines measurement and computational methods with the aim of forming images even when the measurement conditions are weak, few in number, or highly indirect. The recent surge in quantum-inspired imaging sensors, together with a new wave of algorithms allowing on-chip, scalable and robust data processing, has induced an increase of activity with notable results in the domain of low-light flux imaging and sensing. We provide an overview of the major challenges encountered in low-illumination (e.g., ultrafast) imaging and how these problems have recently been addressed for imaging applications in extreme conditions. These methods provide examples of the future imaging solutions to be developed, for which the best results are expected to arise from an efficient codesign of the sensors and data analysis tools. |
领域 | 地球科学 ; 气候变化 ; 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000442818200031 |
WOS关键词 | MULTISPECTRAL LIDAR ; KILOMETER-RANGE ; PHOTON ; CLASSIFICATION ; DESIGN ; IMAGES |
WOS类目 | Multidisciplinary Sciences |
WOS研究方向 | Science & Technology - Other Topics |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/199379 |
专题 | 地球科学 资源环境科学 气候变化 |
作者单位 | 1.Heriot Watt Univ, Sch Engn & Phys Sci, Edinburgh, Midlothian, Scotland; 2.Univ Glasgow, Sch Phys & Astron, Glasgow, Lanark, Scotland; 3.Boston Univ, Dept Elect & Comp Engn, Boston, MA 02215 USA; 4.Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA |
推荐引用方式 GB/T 7714 | Altmann, Yoann,McLaughlin, Stephen,Padgett, Miles J.,et al. Quantum-inspired computational imaging[J]. SCIENCE,2018,361(6403):660-+. |
APA | Altmann, Yoann,McLaughlin, Stephen,Padgett, Miles J.,Goyal, Vivek K.,Hero, Alfred O.,&Faccio, Daniele.(2018).Quantum-inspired computational imaging.SCIENCE,361(6403),660-+. |
MLA | Altmann, Yoann,et al."Quantum-inspired computational imaging".SCIENCE 361.6403(2018):660-+. |
条目包含的文件 | 条目无相关文件。 |
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