Collaborative compressive X-ray image reconstruction
Published
Conference Paper
© 2015 IEEE. The Poisson Factor Analysis (PFA) is applied to recover signals from a Poisson compressive sensing system. Motivated by the recently developed compressive X-ray imaging system, Coded Aperture Coherent Scatter Spectral Imaging (CACSSI) [1], we propose a new Bayesian reconstruction algorithm. The proposed Poisson-Gamma (PG) approach uses multiple measurements to refine our knowledge on both sensing matrix and background noise to overcome the uncertainties and inaccuracy of the hardware system. Therefore, a collaborative compressive X-ray image reconstruction algorithm is proposed under a Bayesian framework. Experimental results on real data show competitive performance in comparison with point estimation based methods.
Full Text
Duke Authors
Cited Authors
- Huang, J; Yuan, X; Calderbank, R
Published Date
- January 1, 2015
Published In
Volume / Issue
- 2015-August /
Start / End Page
- 3282 - 3286
International Standard Serial Number (ISSN)
- 1520-6149
International Standard Book Number 13 (ISBN-13)
- 9781467369978
Digital Object Identifier (DOI)
- 10.1109/ICASSP.2015.7178578
Citation Source
- Scopus