Statistical performance bounds for coded-aperture compressive spectral-polarimetric imaging
Publication
, Journal Article
Prasad, S; Zhang, Q; Plemmons, R; Brady, D
Published in: Computational Optical Sensing and Imaging, COSI 2012
January 1, 2012
We apply statistical information and Bayesian estimation theories to calculate certain fundamental bounds on the reconstruction of segment boundaries, material type, and surface texture of sparse objects from their coded-aperture compressive spectral-polarimetric image data. © 2012 OSA.
Duke Scholars
Published In
Computational Optical Sensing and Imaging, COSI 2012
DOI
Publication Date
January 1, 2012
Citation
APA
Chicago
ICMJE
MLA
NLM
Prasad, S., Zhang, Q., Plemmons, R., & Brady, D. (2012). Statistical performance bounds for coded-aperture compressive spectral-polarimetric imaging. Computational Optical Sensing and Imaging, COSI 2012. https://doi.org/10.1364/cosi.2012.ctu3b.1
Prasad, S., Q. Zhang, R. Plemmons, and D. Brady. “Statistical performance bounds for coded-aperture compressive spectral-polarimetric imaging.” Computational Optical Sensing and Imaging, COSI 2012, January 1, 2012. https://doi.org/10.1364/cosi.2012.ctu3b.1.
Prasad S, Zhang Q, Plemmons R, Brady D. Statistical performance bounds for coded-aperture compressive spectral-polarimetric imaging. Computational Optical Sensing and Imaging, COSI 2012. 2012 Jan 1;
Prasad, S., et al. “Statistical performance bounds for coded-aperture compressive spectral-polarimetric imaging.” Computational Optical Sensing and Imaging, COSI 2012, Jan. 2012. Scopus, doi:10.1364/cosi.2012.ctu3b.1.
Prasad S, Zhang Q, Plemmons R, Brady D. Statistical performance bounds for coded-aperture compressive spectral-polarimetric imaging. Computational Optical Sensing and Imaging, COSI 2012. 2012 Jan 1;
Published In
Computational Optical Sensing and Imaging, COSI 2012
DOI
Publication Date
January 1, 2012