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