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Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution

2009

Technical Report

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Ultimately being motivated by facilitating space-variant blind deconvolution, we present a class of linear transformations, that are expressive enough for space-variant filters, but at the same time especially designed for efficient matrix-vector-multiplications. Successful results on astronomical imaging through atmospheric turbulences and on noisy magnetic resonance images of constantly moving objects demonstrate the practical significance of our approach.

Author(s): Hirsch, M. and Sra, S. and Schölkopf, B. and Harmeling, S.
Number (issue): 188
Year: 2009
Month: November
Day: 0

Department(s): Empirical Inference
Bibtex Type: Technical Report (techreport)

Institution: Max Planck Institute for Biological Cybernetics, Tübingen, Germany

Digital: 0
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

Links: PDF

BibTex

@techreport{6328,
  title = {Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution},
  author = {Hirsch, M. and Sra, S. and Sch{\"o}lkopf, B. and Harmeling, S.},
  number = {188},
  organization = {Max-Planck-Gesellschaft},
  institution = {Max Planck Institute for Biological Cybernetics, Tübingen, Germany},
  school = {Biologische Kybernetik},
  month = nov,
  year = {2009},
  month_numeric = {11}
}