Computational Spectral Imaging Based on Compressive Sensing

Chao Wang

doi:10.1088/0256-307X/34/10/104203

Computational Spectral Imaging Based on Compressive Sensing

2017-10-18

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DOI：10.1088/0256-307X/34/10/104203

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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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Computational Spectral Imaging Based on Compressive Sensing

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