典型文献
Imaging through scattering media via spatial-temporal encoded pattern illumination
文献摘要：
Optical imaging through scattering media has long been a challenge.Many approaches have been developed for focusing light or imaging objects through scattering media,but usually,they are either invasive,limited to stationary or slow-moving media,or require high-resolution cameras and complex algorithms to retrieve the images.By uti-lizing spatial-temporal encoded patterns(STEPs),we introduce a technique for the computation of imaging that overcomes these restrictions.With a single-pixel photodetector,we demonstrate non-invasive imaging through scat-tering media.This technique is insensitive to the motion of the media.Furthermore,we demonstrate that our image reconstruction algorithm is much more efficient than correlation-based algorithms for single-pixel imaging,which may allow fast imaging for applications with limited computing resources.
文献关键词：
中图分类号：
作者姓名：
XINGCHEN ZHAO;XIAOYU NIE;ZHENHUAN YI;TAO PENG;MARLAN O.SCULLY
作者机构：
Institute for Quantum Science and Engineering,Texas A&M University,College Station,Texas 77843,USA;School of Physics,Xi'an Jiaotong University,Xi'an 710049,China;Baylor University,Waco,Texas 76706,USA;Princeton University,Princeton,New Jersey 08544,USA
文献出处：
引用格式：
[1]XINGCHEN ZHAO;XIAOYU NIE;ZHENHUAN YI;TAO PENG;MARLAN O.SCULLY-.Imaging through scattering media via spatial-temporal encoded pattern illumination)[J].光子学研究（英文）,2022(07):1689-1694
A类：
STEPs
B类：
Imaging,through,scattering,media,via,spatial,temporal,encoded,illumination,Optical,imaging,has,long,been,challenge,Many,approaches,have,developed,focusing,light,objects,but,usually,they,are,either,invasive,limited,stationary,slow,moving,require,high,resolution,cameras,complex,algorithms,retrieve,images,By,lizing,patterns,we,introduce,technique,computation,that,overcomes,these,restrictions,With,single,pixel,photodetector,demonstrate,This,insensitive,motion,Furthermore,reconstruction,much,efficient,than,correlation,which,may,allow,fast,applications,computing,resources
AB值：
0.588032
相似文献
机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
