Spectrally selective compressive imaging by matrix system analysis

Computational Optical Sensing and Imaging, COSI 2012

Volumn , Issue , 2012, Pages

  Arguello, Henry ^a,b   Arce, Gonzalo R ^b  

^a UNIVERSITY OF DELAWARE   (United States)

^b UNIVERSIDAD INDUSTRIAL DE SANTANDER   (Colombia)

Author keywords

[No Author keywords available]

Indexed keywords

SPECTROSCOPY;

CODED APERTURES; COMPRESSIVE IMAGING; PHYSICAL PHENOMENA; RANDOM PROJECTIONS; SELECTIVE PROPERTIES; SNAPSHOT SPECTRAL IMAGING; SPECTRAL IMAGING; SPECTRAL SENSING;

MATRIX ALGEBRA;

EID: 84890449139     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1364/cosi.2012.cm4b.5     Document Type: Conference Paper

References (5)

1. Wagadarikar, A. A., Pitsianis, N. P., Sun, X., and Brady, D. J. Spectral image estimation for coded aperture snapshot spectral imagers. Proc. SPIE 7076 (2008), 707602-707602-15.
2. Kittle, D., Choi, K., Wagadarikar, A. A., and Brady, D. J. Multiframe image estimation for coded aperture snapshot spectral imagers. Appl. Opt. 49, 36 (Dec 2010), 6824-6833.
3. Arguello, H., and Arce, G. R. Optimization of Pseudorandom Code Apertures for Compressive Spectral Imaging. Submitted to OSA Optics and Photonics Congress, Monterey, CA, USA, 2012.
4. Candès, E., Romberg, J., and Tao, T. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information. IEEE Trans. Information Theory 52 (2006), 489-509.
5. Arguello, H., and Arce, G. R. Code aperture optimization for spectrally agile compressive imaging. J. Opt. Soc. Am. A 28, 11 (November 2011), 2400-2413.