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  A Machine Learning Approach for Non-blind Image Deconvolution

Schuler, C. J., Burger, H., Harmeling, S., & Schölkopf, B. (2013). A Machine Learning Approach for Non-blind Image Deconvolution. In 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 1067-1074). Piscataway, NJ: IEEE. doi:10.1109/CVPR.2013.142.

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 Creators:
Schuler, C. J.1, Author              
Burger, HC1, Author              
Harmeling, S.1, Author              
Schölkopf, B.1, Author              
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
 Abstract: -

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 Dates: 20132013
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: SchulerBHS2013
DOI: 10.1109/CVPR.2013.142
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Title: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Place of Event: Portland, Oregon, USA
Start-/End Date: 2013-06-23 - 2013-06-28

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Title: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1067 - 1074 Identifier: ISSN: 1063-6919
ISBN: 978-1-4673-6410-2