Bayesian 3d x-ray computed tomography with hierarchical prior model for sparsity in

HIGHLIGHTS

• who: Haar transformation et al. from the Laboratoire des signaux et système, Centralesupelec, CNRS, Rue Joliot Curie, Gif sur Yvette, France have published the paper: Bayesian 3D X-ray Computed Tomography with Hierarchical Prior Model for Sparsity in, in the Journal: Entropy 2018, 20, 977 of /2018/
• what: In this paper a hierarchical prior model based on the and an appropriate Bayesian computational method for X-ray CT reconstruction are presented. The authors compare the proposed method with two state-of-the-art approaches showing that the method has better reconstruction performance when fewer . . .
  

   

  

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