DocumentCode :
3541392
Title :
Restricted Isometry Property in coded aperture compressive spectral imaging
Author :
Arguello, Henry ; Arce, Gonzalo R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Delaware, Newark, DE, USA
fYear :
2012
fDate :
5-8 Aug. 2012
Firstpage :
716
Lastpage :
719
Abstract :
Coded Aperture Snapshot Spectral Imaging Systems (CASSI) capture the spectral information of a scene using a set of coded focal plane array measurements. Compressed sensing reconstruction algorithms are used to reconstruct the underlying spectral 3D data cube. The coded measurements in CASSI use structured sensing matrices. This article describes the Restricted Isometry Property (RIP) for the projection matrices used in CASSI. In turn, the RIP provides guidelines for the minimum number of FPA measurement shots needed for image reconstruction. It also provides the optimal transmittance parameters for the set of code apertures used in the acquisition process.
Keywords :
compressed sensing; image coding; image reconstruction; matrix algebra; CASSI; FPA measurement; RIP; coded aperture snapshot spectral imaging systems; coded focal plane array measurements; compressed sensing reconstruction algorithms; image acquisition process; image reconstruction; optimal transmittance parameters; projection matrices; restricted isometry property; spectral 3D data cube; spectral information; structured sensing matrices; Apertures; Compressed sensing; Image reconstruction; Imaging; Random variables; Sensors; Sparse matrices; CASSI; RIP; compressive sensing; spectral imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistical Signal Processing Workshop (SSP), 2012 IEEE
Conference_Location :
Ann Arbor, MI
ISSN :
pending
Print_ISBN :
978-1-4673-0182-4
Electronic_ISBN :
pending
Type :
conf
DOI :
10.1109/SSP.2012.6319803
Filename :
6319803
Link To Document :
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