Joint-MAP Tomographic Reconstruction with Patch Similarity Based Mixture Prior Model

@article{Chen2011JointMAPTR,
  title={Joint-MAP Tomographic Reconstruction with Patch Similarity Based Mixture Prior Model},
  author={Yang Chen and Yinsheng Li and Weimin Yu and Limin Luo and Wufan Chen and Christine Toumoulin},
  journal={Multiscale Modeling & Simulation},
  year={2011},
  volume={9},
  pages={1399-1419}
}
Tomographic reconstruction from noisy projections do not yield adequate results. Mathematically, this tomographic reconstruction represents an ill-imposed problem due to information missing caused from the presence of noise. Maximum A Posteriori (MAP) or Bayesian reconstruction methods offer possibilities to improve the image quality as compared with analytical methods in particular by introducing a prior to guide the reconstruction and regularize the noise. With an aim to achieve robust… CONTINUE READING
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