Math @ Duke
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Publications [#322366] of Robert Calderbank
Papers Published
- Huang, J; Yuan, X; Calderbank, R, Collaborative compressive X-ray image reconstruction,
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2015-August
(August, 2015),
pp. 3282-3286, IEEE, ISBN 9781467369978 [doi]
(last updated on 2025/02/21)
Abstract: 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.
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