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          Institute: MPI für Intelligente Systeme (ehemals Max-Planck-Institut für Metallforschung)     Collection: Abt. Schölkopf (Empirical Inference)     Display Documents



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ID: 596126.0, MPI für Intelligente Systeme (ehemals Max-Planck-Institut für Metallforschung) / Abt. Schölkopf (Empirical Inference)
Fast removal of non-uniform camera shake
Authors:Hirsch, M.; Schuler, C. J.; Harmeling, S.; Schölkopf, B.
Date of Publication (YYYY-MM-DD):2011-11-01
Title of Proceedings:13th IEEE International Conference on Computer Vision (ICCV 2011)
Start Page:463
End Page:470
Physical Description:7
Place of Conference/Meeting:Barcelona, Spain
Review Status:not specified
Audience:Not Specified
Intended Educational Use:No
Abstract / Description:Camera shake leads to non-uniform image blurs. State-of-the-art methods for removing camera shake model the blur as a linear combination of homographically transformed versions of the true image. While this is conceptually interesting, the resulting algorithms are computationally demanding. In this paper we develop a forward model based on the efficient filter flow framework, incorporating the particularities of camera shake, and show how an efficient algorithm for blur removal can be obtained. Comprehensive comparisons on a number of real-world blurry images show that our approach is not only substantially faster, but it also leads to better deblurring results.
External Publication Status:published
Document Type:Conference-Paper
Communicated by:Heide Klooz
Affiliations:MPI für Intelligente Systeme/Abt. Schölkopf
Identifiers:URL:http://www.kyb.tuebingen.mpg.de/fileadmin/user_upl...
LOCALID:HirschSHS2011
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