Adaptive Graph-Based Total Variation for Tomographic Reconstructions.

IEEE Signal Processing Letters(2018)

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摘要
Sparsity exploiting image reconstruction (SER) methods have been extensively used with total variation (TV) regularization for tomographic reconstructions. Local TV methods fail to preserve texture details and often create additional artifacts due to over-smoothing. Nonlocal TV (NLTV) methods have been proposed as a solution to this but they either lack continuous updates due to computational cons...
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关键词
Image reconstruction,TV,Signal processing algorithms,Subspace constraints,Computed tomography,Compressed sensing
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