Computational Spectral Imaging Based on Compressive Sensing

Chao Wang, Xue Feng Liu*, Wen Kai Yu, Xu Ri Yao, Fu Zheng, Qian Dong, Ruo Ming Lan, Zhi Bin Sun, Guang Jie Zhai, Qing Zhao

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

8 引用 (Scopus)

摘要

Spectral imaging is an important tool for a wide variety of applications. We present a technique for spectral imaging using computational imaging pattern based on compressive sensing (CS). The spectral and spatial information is simultaneously obtained using a fiber spectrometer and the spatial light modulation without mechanical scanning. The method allows high-speed, stable, and sub sampling acquisition of spectral data from specimens. The relationship between sampling rate and image quality is discussed and two CS algorithms are compared.

源语言英语
文章编号104203
期刊Chinese Physics Letters
34
10
DOI
出版状态已出版 - 10月 2017

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