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Smoothed-NUV Priors for Imaging and Beyond

Boxiao Ma
Hartung-Gorre
64 € · Buch

Image estimation LSSM NUV blind image deblurring edge detection edge rate expectation maximization image segmentation iterative reweighted descent regularizations sparsity tomography

Many problems in imaging need to be guided with effective priors or regularizations for different reasons. A great variety of regularizations have been proposed that have substantially improved computational imaging and driven the area to a whole new level. The most famous and widely applied among t...

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