Data driven reconstruction using frames and Riesz bases

Andrea Aspri, Leon Frischauf, Yury Korolev, Otmar Scherzer

Research output: Working paper / PreprintPreprint

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Abstract

We study the problem of regularization of inverse problems adopting a purely data driven approach, by using the similarity to the method of regularization by projection. We provide an application of a projection algorithm, utilized and applied in frames theory, as a data driven reconstruction procedure in inverse problems, generalizing the algorithm proposed by the authors in Inverse Problems 36 (2020), n. 12, 125009, based on an orthonormalization procedure for the training pairs. We show some numerical experiments, comparing the different methods.
Original languageEnglish
Number of pages12
Publication statusPublished - 9 Mar 2021

Keywords

  • math.NA
  • cs.NA
  • 47A52, 65J20, 65J22, 65F22

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