1Center for Quantum Technology Research, School of Physics, Beijing Institute of Technology, Beijing 100081 2China Academy of Engineering Physics, Mianyang 621900 3Key Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Chinese Academy of Sciences, Beijing 100190 4School of Physics and Electronics, Shandong Normal University, Jinan 250014
Abstract：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.
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2017, Vol. 34 
