Deconvolving PSFs for a Better Motion Deblurring Using Multiple Images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F12%3A00381515" target="_blank" >RIV/67985556:_____/12:00381515 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-33715-4_46" target="_blank" >http://dx.doi.org/10.1007/978-3-642-33715-4_46</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-33715-4_46" target="_blank" >10.1007/978-3-642-33715-4_46</a>
Alternative languages
Result language
angličtina
Original language name
Deconvolving PSFs for a Better Motion Deblurring Using Multiple Images
Original language description
In this paper, instead of estimating the PSFs directly and only once from the observed images, we first generate a rough estimate of the PSFs using a robust multichannel deconvolution algorithm, and then ?deconvolve the PSFs to refine the outputs. Simulated and real data experiments show that this strategy works quite well for motion blurred images, producing state of the art results.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computer Vision ? ECCV 2012
ISBN
978-3-642-33715-4
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
636-647
Publisher name
Springer
Place of publication
Berlin
Event location
Florence
Event date
Oct 7, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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