0431506 20240111140850.920141013235959.9 84908537475 000349552300029 10.1109/CVPRW.2014.34 Space-variant image deblurring on smartphones using inertial sensors 2 s. E cav_un_epca*0432754978-1-4799-4309-8CVPRW 2014 : Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops 2014191-192PiscatawayIEEE Computer Society2014 space-variant deconvolution gyroscopes mobile phone cav_un_auth*0289163 Šindelář Ondřej UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101209 Šroubek Filip UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0274481 Milanfar P. US pdf http://library.utia.cas.cz/separaty/2014/ZOI/sindelar-0431506.pdf cav_un_auth*0289164 M100751201 GA AV ČR CZ cav_un_auth*0292734 GA13-29225S GA ČR 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. cav_un_auth*0306066 IEEE Conference on Computer Vision and Pattern Recognition Workshops 23.06.2014-28.06.2014 Columbus US JD 20000 20200 20206 2015 PR RVO:67985556 http://hdl.handle.net/11104/0237127 S RIV/67985556:_____/14:00431506!RIV15-AV0-67985556 152459944 Doplněněí UT WOS a Scopus RIV/67985556:_____/14:00431506!RIV15-GA0-67985556 152500989 Doplněněí UT WOS a Scopus n.a. Proceedings Paper Computer Science Artificial Intelligence 2014 84908537475 SCOPUS 000349552300029 WOS pdf cav_un_epca*0432754 CVPRW 2014 : Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops 2014 978-1-4799-4309-8 191 192 Piscataway IEEE Computer Society 2014