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  Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction via Incremental EM

Harmeling, S., Sra, S., Hirsch, M., & Schölkopf, B. (2010). Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction via Incremental EM. In 17th International Conference on Image Processing (ICIP 2010) (pp. 3313-3316). Piscataway, NJ, USA: IEEE.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-BE6E-D Version Permalink: http://hdl.handle.net/21.11116/0000-0002-7F28-4
Genre: Conference Paper

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 Creators:
Harmeling, S1, 2, Author              
Sra, S1, 2, Author              
Hirsch, M1, 2, Author              
Schölkopf, B1, 2, Author              
Affiliations:
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: 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.

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 Dates: 2010-09
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1109/ICIP.2010.5651650
BibTex Citekey: 6673
 Degree: -

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Title: 17th International Conference on Image Processing (ICIP 2010)
Place of Event: Hong Kong, China
Start-/End Date: 2010-09-26 - 2010-09-29

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Title: 17th International Conference on Image Processing (ICIP 2010)
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 3313 - 3316 Identifier: ISBN: 978-1-4244-7994-8