Multi-spectral compressive snapshot imaging using RGB image sensors
Date
2015-04-30
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Publisher
The Optical Society of America
Abstract
Compressive sensing is a powerful sensing and reconstruction
framework for recovering high dimensional signals with only a handful
of observations and for spectral imaging, compressive sensing offers a
novel method of multispectral imaging. Specifically, the coded aperture
snapshot spectral imager (CASSI) system has been demonstrated to
produce multi-spectral data cubes color images from a single snapshot
taken by a monochrome image sensor. In this paper, we expand the
theoretical framework of CASSI to include the spectral sensitivity of
the image sensor pixels to account for color and then investigate the
impact on image quality using either a traditional color image sensor that
spatially multiplexes red, green, and blue light filters or a novel Foveon
image sensor which stacks red, green, and blue pixels on top of one another.
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Citation
Rueda, Hoover, Daniel Lau, and Gonzalo R. Arce. "Multi-spectral compressive snapshot imaging using RGB image sensors." Optics express 23.9 (2015): 12207-12221.