An Adaptive Inverse Scale Space Method for Compressed Sensing

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• Martin Burger (University of Münster)
• Tuesday 03 July 2012, 15:00-15:40
• MR 14, Centre for Mathematical Sciences.

If you have a question about this talk, please contact Carola-Bibiane Schoenlieb.

In this talk a novel adaptive approach for solving -minimization problems as frequently arising in compressed sensing is introduced, which is based on the recently introduced inverse scale space method. The scheme allows to efficiently compute minimizers by solving a sequence of low-dimensional nonnegative least-squares problems. Moreover, extensive comparisons between the proposed method and the related orthogonal matching pursuit algorithm are presented.

This talk is part of the Cambridge Image Analysis Seminars series.

This talk is included in these lists:

• Cambridge Image Analysis Seminars
• MR 14, Centre for Mathematical Sciences

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