Multi-scale Bayesian reconstruction of compressive X-ray image
Published
Conference Paper
© 2015 IEEE. A novel multi-scale dictionary based Bayesian reconstruction algorithm is proposed for compressive X-ray imaging, which encodes the material's spectrum by Poisson measurements. Inspired by recently developed compressive X-ray imaging systems [1], this work aims to recover the material's spectrum from the compressive coded image by leveraging a reference spectrum library. Instead of directly using the huge and redundant library as a dictionary, which is cumbersome in computation and difficult for selecting those active dictionary atoms, a multi-scale tree structured dictionary is refined from the spectrum library, and following this a Bayesian reconstruction algorithm is developed. Experimental results on real data demonstrate superior performance in comparison with traditional 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
- 1618 - 1622
International Standard Serial Number (ISSN)
- 1520-6149
International Standard Book Number 13 (ISBN-13)
- 9781467369978
Digital Object Identifier (DOI)
- 10.1109/ICASSP.2015.7178244
Citation Source
- Scopus