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Empirical Inference Conference Paper 2010

Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution

Thumb ticker sm stefan harmeling
Empirical Inference
Stefan Harmeling
Thumb ticker sm me
Empirical Inference
Michael Hirsch
Affiliated Researcher
Thumb ticker sm l1170153
Empirical Inference
Bernhard Schölkopf
  • Director
Thumb ticker sm thumb suvrit sra
Empirical Inference
Suvrit Sra

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.
Book Title: Proceedings of the 23rd IEEE Conference on Computer Vision and Pattern Recognition
Pages: 607-614
Year: 2010
Month: June
Day: 0
Publisher: IEEE
Bibtex Type: Conference Paper (inproceedings)
Address: Piscataway, NJ, USA
DOI: 10.1109/CVPR.2010.5540158
Event Name: CVPR 2010
Event Place: San Francisco, CA, USA
Electronic Archiving: grant_archive
ISBN: 978-1-424-47029-7
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik
Links:

BibTex 

@inproceedings{6335,
  title = {Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution},
  booktitle = {Proceedings of the 23rd IEEE Conference on Computer Vision and Pattern Recognition},
  abstract = {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.},
  pages = {607-614},
  publisher = {IEEE},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  address = {Piscataway, NJ, USA},
  month = jun,
  year = {2010},
  slug = {6335},
  author = {Hirsch, M. and Sra, S. and Sch{\"o}lkopf, B. and Harmeling, S.},
  month_numeric = {6}
}