Motion Blur Prior
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F20%3A00533761" target="_blank" >RIV/67985556:_____/20:00533761 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICIP40778.2020.9191316" target="_blank" >http://dx.doi.org/10.1109/ICIP40778.2020.9191316</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICIP40778.2020.9191316" target="_blank" >10.1109/ICIP40778.2020.9191316</a>
Alternative languages
Result language
angličtina
Original language name
Motion Blur Prior
Original language description
We have proposed a novel methodology for generating priors that favor motion blur. Priors play an important role of regularizers in image deblurring algorithms. Image priors are frequently studied and many forms were proposed in the literature. Blur priors are considered less important and the most common forms are simple uniform distributions with domain constraints. We propose a more informative blur prior based on the notion of atomic norm which favors blurs composed of line segments and is suitable for motion blur. The prior is formulated as a linear program that can be inserted into any optimization task. Evaluation is conducted on blind deblurring of moving objects.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20206 - Computer hardware and architecture
Result continuities
Project
<a href="/en/project/GA18-05360S" target="_blank" >GA18-05360S: Solving inverse problems for the analysis of fast moving objects</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2020 IEEE International Conference on Image Processing (ICIP)
ISBN
978-1-7281-6396-3
ISSN
1522-4880
e-ISSN
2381-8549
Number of pages
5
Pages from-to
928-932
Publisher name
IEEE
Place of publication
Piscataway
Event location
Abu Dhabi
Event date
Oct 25, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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