Motion Estimation and Deblurring of Fast Moving Objects
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F18%3A00494139" target="_blank" >RIV/67985556:_____/18:00494139 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICIP.2018.8451661" target="_blank" >http://dx.doi.org/10.1109/ICIP.2018.8451661</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICIP.2018.8451661" target="_blank" >10.1109/ICIP.2018.8451661</a>
Alternative languages
Result language
angličtina
Original language name
Motion Estimation and Deblurring of Fast Moving Objects
Original language description
Image deblurring is one of the standard problems in image processing. Recently, this area of research is dominated by blind deblurring, where neither the sharp image nor the blur are known. The majority of works, however, target scenarios where the captured scene is static and the blur is caused by camera motion, i.e. the whole image is blurred. In this work we address a similar yet different scenario: an object moves in front of a static background. Such object is blurred due to motion while the background is sharp and partially occluded by the object. The problem of blind deblurring in such setting has not been properly addressed in literature. We formally define the problem, discuss its solvability, and explain why it cannot be viewed as a special case of classical blind de-blurring. We propose a solution to the presented problem for a particular class of motions and demonstrate results on real data.
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
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 25th IEEE International Conference on Image Processing 2018
ISBN
978-1-4799-7062-9
ISSN
—
e-ISSN
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Number of pages
5
Pages from-to
2860-2864
Publisher name
IEEE
Place of publication
Piscataway
Event location
Atény
Event date
Oct 7, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000455181502196