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Computational Spectral Imaging Based on Compressive Sensing
Wang Chao; Liu Xuefeng; Yu Wenkai; Yao Xuri; Zheng Fu; Dong Qian; Lan Ruoming; Sun Zhibin; Zhai Guangjie; Zhao Qing
Department空间技术部
Source Publication中国物理快报
2017
Volume34Issue:10Pages:104203
ISSN0256-307X
Language英语
AbstractSpectral 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.
Indexed ByCSCD
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Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/6428
Collection空间技术部
Recommended Citation
GB/T 7714
Wang Chao,Liu Xuefeng,Yu Wenkai,et al. Computational Spectral Imaging Based on Compressive Sensing[J]. 中国物理快报,2017,34(10):104203.
APA Wang Chao.,Liu Xuefeng.,Yu Wenkai.,Yao Xuri.,Zheng Fu.,...&Zhao Qing.(2017).Computational Spectral Imaging Based on Compressive Sensing.中国物理快报,34(10),104203.
MLA Wang Chao,et al."Computational Spectral Imaging Based on Compressive Sensing".中国物理快报 34.10(2017):104203.
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