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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

  • Czech description

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