Image deblurring in smartphone devices using built-in inertial measurement sensors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F13%3A00389233" target="_blank" >RIV/67985556:_____/13:00389233 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1117/1.JEI.22.1.011003" target="_blank" >http://dx.doi.org/10.1117/1.JEI.22.1.011003</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/1.JEI.22.1.011003" target="_blank" >10.1117/1.JEI.22.1.011003</a>
Alternative languages
Result language
angličtina
Original language name
Image deblurring in smartphone devices using built-in inertial measurement sensors
Original language description
Long exposure hand-held photography is degraded with blur, which is difficult to remove without prior information about the camera motion. In this work, we utilize inertial sensors (accelerometers and gyroscopes) in modern smartphones to detect exact motion trajectory of the smartphone camera during exposure and remove blur from the resulting photography based on the recorded motion data. The whole system is implemented on Android platform and embedded in the smartphone device resulting in a close-to-real-time deblurring algorithm. The performance of the proposed system is demonstrated in real-life scenarios.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP103%2F11%2F1552" target="_blank" >GAP103/11/1552: Moments and Moment Invariants in Image Analysis</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
Name of the periodical
Journal of Electronic Imaging
ISSN
1017-9909
e-ISSN
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Volume of the periodical
22
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
8
Pages from-to
011003-1-011003-8
UT code for WoS article
000315162700006
EID of the result in the Scopus database
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