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 |
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文章编号 | 104203 |
期刊 | Chinese Physics Letters |
卷 | 34 |
期 | 10 |
DOI | |
出版状态 | 已出版 - 10月 2017 |