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 i...

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Bibliographic Details
Published in2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition pp. 607 - 614
Main Authors Hirsch, M, Sra, S, Scholkopf, B, Harmeling, S
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2010
Subjects
Convolution
Cybernetics
Deconvolution
Filtering
Image segmentation
Kernel
Nonlinear filters
Optical filters
Signal analysis
Signal synthesis
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Summary: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.
ISBN:1424469848
9781424469840
ISSN:1063-6919
1063-6919
DOI:10.1109/CVPR.2010.5540158