Publications [#322364] of Robert Calderbank

Conference articles PUBLISHED
  1. Huang, J; Yuan, X; Calderbank, R, Multi-scale Bayesian reconstruction of compressive X-ray image, IEEE International Conference on Acoustics Speech and Signal Processing, vol. 2015-August (January, 2015), pp. 1618-1622 [doi] .

    © 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 spectru m 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.