Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution
2009
Technical Report
ei
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 |
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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}, doi = {}, month_numeric = {11} } |