Noise-Robust Image Reconstruction Based on Minimizing Extended Class of Power-Divergence Measures

Noise-Robust Image Reconstruction Based on Minimizing Extended Class of Power-Divergence Measures

The problem of tomographic image reconstruction can be reduced to an optimization problem of finding unknown pixel values subject to minimizing the difference between the measured and forward projections. Iterative image reconstruction algorithms provide significant improvements over transform metho...

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Bibliographic Details
Main Authors: Ryosuke Kasai, Yusaku Yamaguchi, Takeshi Kojima, Omar M. Abou Al-Ola, Tetsuya Yoshinaga
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Entropy
Subjects:
power-divergence measure
computed tomography
iterative reconstruction
maximum-likelihood expectation-maximization method
continuous-time image reconstruction
Online Access:https://www.mdpi.com/1099-4300/23/8/1005

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