Blind Deconvolution Using Alternating Maximum a Posteriori Estimation with Heavy-Tailed Priors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F13%3A00395918" target="_blank" >RIV/67985556:_____/13:00395918 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Blind Deconvolution Using Alternating Maximum a Posteriori Estimation with Heavy-Tailed Priors
Original language description
We presented a method on blur estimation from a single image and sharp image recovery using ultra sparse gradient priors and augmented Lagrangian method.
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
<a href="/en/project/GA13-29225S" target="_blank" >GA13-29225S: Image Blind Deconvolution in Demanding Conditions</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
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 Analysis of Images and Patterns
ISBN
978-3-642-40245-6
ISSN
0302-9743
e-ISSN
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Number of pages
8
Pages from-to
59-66
Publisher name
Springer
Place of publication
Heidelberg
Event location
York
Event date
Aug 27, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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