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.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.