Space-variant image deblurring on smartphones using inertial sensors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F14%3A00431506" target="_blank" >RIV/67985556:_____/14:00431506 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CVPRW.2014.34" target="_blank" >http://dx.doi.org/10.1109/CVPRW.2014.34</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CVPRW.2014.34" target="_blank" >10.1109/CVPRW.2014.34</a>
Alternative languages
Result language
angličtina
Original language name
Space-variant image deblurring on smartphones using inertial sensors
Original language description
We have developed an application on smartphones for space-variant image deblurring. Low-light hand-held photography requires long exposures and leads to space-variant blur degradation. Removing blur without any information about the camera motion is a computationally demanding and unstable process. In this demo system, we use rotational inertial sensors (gyroscopes) to detect the motion trajectory of the camera during exposure and then use it as a base for removing blur from the acquired photographs. The demo is a close-to-real-time deblurring technology, implemented on an Android smartphone.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20206 - Computer hardware and architecture
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
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CVPRW 2014 : Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops 2014
ISBN
978-1-4799-4309-8
ISSN
—
e-ISSN
—
Number of pages
2
Pages from-to
191-192
Publisher name
IEEE Computer Society
Place of publication
Piscataway
Event location
Columbus
Event date
Jun 23, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000349552300029