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 i...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 infor- mation 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.展开更多
基金Supported by the National Major Scientific Instruments Development Project of China under Grant No 2013YQ030595the National Natural Science Foundation of China under Grant Nos 11675014,61601442,61605218,61474123 and 61575207+2 种基金the Science and Technology Innovation Foundation of Chinese Academy of Sciences under Grant No CXJJ-16S047,the National Defense Science and Technology Innovation Foundation of Chinese Academy of Sciencesthe Program of International S&T Cooperation under Grant No 2016YFE0131500the Advance Research Project under Grant No 30102070101
文摘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 infor- mation 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.
