A new principle for choosing regularization parameter in certain inverse problems
Abstract
A new parameter choice rule for inverse problems is introduced. This parameter choice rule was developed for total variation regularization in electron tomography and might in general be useful for L1 regularization of inverse problems with high levels of noise in the data.
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