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Exact solutions to the total generalised variation minimisation problem

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If you have a question about this talk, please contact Luca Calatroni.

Total generalised variation (TGV) was introduced by Bredies et. al. as a high quality regulariser for variational problems arising in mathematical image processing (denoising, deblurring). The main advantage over the traditional total variation regularising is the elimination of the undesirable stairscasing effect.

In this talk we will give a small introduction to TGV and provide some properties of the exact solutions to the L2-TGV model in the one dimensional case.

This talk is part of the Cambridge Analysts' Knowledge Exchange series.

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