100 fps single-pixel imaging illuminated by a Fermat spiral fiber laser array

Single-pixel imaging (SPI) uses modulated illumination light fields and the corresponding light intensities to reconstruct the image.The imaging speed of SPI is constrained by the refresh rate of the illumination light fields.Fiber laser arrays equipped with high-bandwidth electro-optic phase modulators can generate illumination light fields with a refresh rate exceeding 100 MHz.This capability would improve the imaging speed of SPI.In this study, a Fermat spiral fiber laser array was employed as the illumination light source to achieve high-quality and rapid SPI.Compared to rectangular and hexagonal arrays, the nonperiodic configuration of the Fermat spiral mitigates the occurrence of periodic artifacts in reconstructed images, thereby enhancing the imaging quality.A high-speed data synchronous acquisition system was designed to achieve a refresh rate of 20 kHz for the illumination light fields and to synchronize it with the light intensity acquisition.We achieved distinguishable imaging reconstructed by an untrained neural network (UNN) at a sampling ratio of 4.88%.An imaging frame rate of 100 frame/s (fps) was achieved with an image size of 64 pixel 64 pixel.In addition, given the potential of fiber laser arrays for high power output, this SPI system with enhanced speed would facilitate its application in remote sensing.

Authors

Institutions

Publication Details

Journal
Advanced imaging.
Published
2025-01-01
DOI
https://doi.org/10.3788/ai.2025.10025
Primary Topic
Random lasers and scattering media
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

100 fps single-pixel imaging illuminated by a Fermat spiral fiber laser array

Kai Han, Wenda Cui, Wenchang Lai, Jingqi Liu et al.
Advanced imaging.
Random lasers and scattering media
article

100 fps single-pixel imaging illuminated by a Fermat spiral fiber laser array

Kai Han, Wenda Cui, Wenchang Lai, Jingqi Liu, Guozhong Lei, Jiaming Xu, Haolong Jia, Wenhui Wang
article en

Abstract

Single-pixel imaging (SPI) uses modulated illumination light fields and the corresponding light intensities to reconstruct the image.The imaging speed of SPI is constrained by the refresh rate of the illumination light fields.Fiber laser arrays equipped with high-bandwidth electro-optic phase modulators can generate illumination light fields with a refresh rate exceeding 100 MHz.This capability would improve the imaging speed of SPI.In this study, a Fermat spiral fiber laser array was employed as the illumination light source to achieve high-quality and rapid SPI.Compared to rectangular and hexagonal arrays, the nonperiodic configuration of the Fermat spiral mitigates the occurrence of periodic artifacts in reconstructed images, thereby enhancing the imaging quality.A high-speed data synchronous acquisition system was designed to achieve a refresh rate of 20 kHz for the illumination light fields and to synchronize it with the light intensity acquisition.We achieved distinguishable imaging reconstructed by an untrained neural network (UNN) at a sampling ratio of 4.88%.An imaging frame rate of 100 frame/s (fps) was achieved with an image size of 64 pixel 64 pixel.In addition, given the potential of fiber laser arrays for high power output, this SPI system with enhanced speed would facilitate its application in remote sensing.

Advanced imaging.Vol. 2(2)
National University of Defense Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 95%
Random lasers and scattering media
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.