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- W1526040413 abstract "In this paper we establish a regularization method for Radon measures. Motivated from sparse L 1 regularization we introduce a new regularization functional for the Radon norm, whose properties are then analyzed. We, furthermore, show well-posedness of Radon measure based sparsity regularization. Finally we present numerical examples along with the underlying algorithmic and implementation details. We shall, here, see that the number of iterations turn out of utmost importance when it comes to obtain reliable reconstructions of sparse data with varying intensities." @default.
- W1526040413 created "2016-06-24" @default.
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- W1526040413 date "2009-01-01" @default.
- W1526040413 modified "2023-09-23" @default.
- W1526040413 title "Sparsity Regularization for Radon Measures" @default.
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- W1526040413 doi "https://doi.org/10.1007/978-3-642-02256-2_38" @default.
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