Paper
18 November 2014 Light flow model of coded aperture snapshot spectral imager
Author Affiliations +
Abstract
Coded aperture snapshot spectral imager (CASSI) based on compressed sensing can capture a three-dimensional (3-D) data cube information in one snapshot without scanning, so it is a kind of novel spectral imaging technique with good prospects. In this paper, the data flow procession of two kind of CASSI were studied, which similarities and differences were depicted. The basic principle of the encoded representation of both spectral information and 2-D spatial information of a scene were presented. The numerical estimation techniques based on the compressive sensing theory were applied to reconstruct 3-D data cube.
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Peiyue Xie, Jianfeng Yang, Bin Xue, Hong Wang, and Yansong Song "Light flow model of coded aperture snapshot spectral imager", Proc. SPIE 9298, International Symposium on Optoelectronic Technology and Application 2014: Imaging Spectroscopy; and Telescopes and Large Optics, 92980C (18 November 2014); https://doi.org/10.1117/12.2070581
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Cited by 1 scholarly publication.
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KEYWORDS
Coded apertures

Sensors

Imaging systems

Optical filters

Imaging spectroscopy

Compressed sensing

Data modeling

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