Learning-Based Image Reconstruction via Parallel Proximal Algorithm
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DOI: 10.1109/lsp.2018.2833812
Abstract: In the past decade, sparsity-driven regularization has led to the advancement of image reconstruction algorithms. Traditionally, such regularizers rely on analytical models of sparsity [e.g., total variation (TV)]. However, more recent methods are increasingly centered around… read more here.
Keywords: reconstruction; parallel proximal; image reconstruction; proximal algorithm ... See more keywords