Collaborative compressive X-ray image reconstruction

Conference Paper

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

  • August 4, 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