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  Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution

Hirsch, M., Sra, S., Schölkopf, B., & Harmeling, S.(2009). Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution (188).

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-C21C-A Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-C21D-8
Genre: Report

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 Creators:
Hirsch, M1, Author              
Sra, S1, Author              
Schölkopf, B1, Author              
Harmeling, S1, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, escidoc:1497795              

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 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.

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 Dates: 2009-11
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: Report Nr.: 188
BibTex Citekey: 6328
 Degree: -

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