Bayesian 3D X-ray Computed Tomography with a Hierarchical Prior Model for Sparsity in Haar Transform Domain

Bayesian 3D X-ray Computed Tomography with a Hierarchical Prior Model for Sparsity in Haar Transform Domain

In this paper, a hierarchical prior model based on the Haar transformation and an appropriate Bayesian computational method for X-ray CT reconstruction are presented. Given the piece-wise continuous property of the object, a multilevel Haar transformation is used to associate a sparse representation...

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Bibliographic Details
Main Authors: Li Wang, Ali Mohammad-Djafari, Nicolas Gac, Mircea Dumitru
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Entropy
Subjects:
X-ray computed tomography
inverse problem
sparsity
hierarchical structure
generalized Student-<i>t</i> distribution
Haar transformation
Online Access:https://www.mdpi.com/1099-4300/20/12/977

Internet

https://www.mdpi.com/1099-4300/20/12/977

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