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          Institute: MPI für biologische Kybernetik     Collection: Biologische Kybernetik     Display Documents



ID: 548511.0, MPI für biologische Kybernetik / Biologische Kybernetik
Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction via Incremental EM
Authors:Harmeling, S.; Sra, S.; Hirsch, M.; Schölkopf, B.
Date of Publication (YYYY-MM-DD):2010-09
Title of Proceedings:Proceedings of the 17th International Conference on Image Processing (ICIP 2010)
Start Page:3313
End Page:3316
Physical Description:4
Audience:Not Specified
Intended Educational Use:No
Abstract / Description:We formulate the multiframe blind deconvolution problem in an incremental
expectation maximization (EM) framework. Beyond deconvolution,
we show how to use the same framework to address: (i)
super-resolution despite noise and unknown blurring; (ii) saturationcorrection
of overexposed pixels that confound image restoration.
The abundance of data allows us to address both of these without
using explicit image or blur priors. The end result is a simple but effective
algorithm with no hyperparameters. We apply this algorithm
to real-world images from astronomy and to super resolution tasks:
for both, our algorithm yields increased resolution and deconvolved
images simultaneously.
External Publication Status:published
Document Type:Conference-Paper
Communicated by:Holger Fischer
Affiliations:MPI für biologische Kybernetik/Empirical Inference (Dept. Schölkopf)
Identifiers:LOCALID:6673
URL:http://www.icip2010.org/
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