Single-pixel imaging with high spectral and spatial resolution

Mingyue Song, Zhaohua Yang, Ping Li, Zidong Zhao, Ying Liu, Yuanjin Yu*, Ling An Wu

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

4 引用 (Scopus)

摘要

It has long been a challenge to obtain high spectral and spatial resolution simultaneously for the field of measurement and detection. Here we present a measurement system based on single-pixel imaging with compressive sensing that can realize excellent spectral and spatial resolution at the same time, as well as data compression. Our method can achieve high spectral and spatial resolution, which is different from the mutually restrictive relationship between the two in traditional imaging. In our experiments, 301 spectral channels are obtained in the band of 420–780 nm with a spectral resolution of 1.2 nm and a spatial resolution of 1.11 mrad. A sampling rate of 12.5% for a 64 × 64 pixel image is obtained by using compressive sensing, which also reduces the measurement time; thus, high spectral and spatial resolution are realized simultaneously, even at a low sampling rate.

源语言英语
页(从-至)2610-2616
页数7
期刊Applied Optics
62
10
DOI
出版状态已出版 - 1 4月 2023

指纹

探究 'Single-pixel imaging with high spectral and spatial resolution' 的科研主题。它们共同构成独一无二的指纹。

引用此