J. Salmon

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1D. W. Dunstan
1S. A. McNaughton
1E. A. Fletcher
1V. Carson
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In this paper, we propose a new framework to remove parts of the systematic errors affecting popular restoration algorithms, with a special focus for image processing tasks. Extending ideas that emerged for 1 regularization, we develop an approach that can help re-fitting the results of standard methods towards the input data. Total variation(More)
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