Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution

Hirsch, M; Sra, S; Schölkopf, B; Harmeling, S

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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). Tübingen, Germany: Max Planck Institute for Biological Cybernetics.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-C21C-A Version Permalink: https://hdl.handle.net/21.11116/0000-0002-85A5-D

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Hirsch, M^{1, 2}, Author
Sra, S^{1, 2}, Author
Schölkopf, B^{1, 2}, Author
Harmeling, S^{1, 2}, Author

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1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794

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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: Date issued: 2009-11

Publication Status: Issued

Pages: 9

Publishing info: Tübingen, Germany : Max Planck Institute for Biological Cybernetics

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Identifiers: Report Nr.: 188
BibTex Citekey: 6328

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Title: Technical Report of the Max Planck Institute for Biological Cybernetics

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Pages: - Volume / Issue: 188 Sequence Number: - Start / End Page: - Identifier: -