0428921 20240111140847.720140624235959.9 23 s. P 306 cav_un_epca*04289209781107044364100-122GBCambridge University Press2014RajagopalanA. N.ChellappaRama image deconvolution inertial sensors MEMS smartphone cav_un_auth*0101209 Šroubek Filip Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101087 Flusser Jan Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. pdf http://library.utia.cas.cz/separaty/2014/ZOI/sroubek-0428921.pdf 2.6MB GA13-29225S GA ČR cav_un_auth*0292734 M100751201 GA AV ČR cav_un_auth*0289164 We have proposed blind deconvolution of images blurred by motion using gyroscopes in smartphones. The main contribution of this chapter is to illustrate that blur estimation with built-in inertial sensors is possible and to implement image deblurring on a smartphone, which works in practical situations and is relatively fast to be acceptable for a general user. 2015 JD 2 RVO:67985556 http://hdl.handle.net/11104/0234217 S 2014 pdf 2.6MB cav_un_epca*0428920 Motion Deblurring: Algorithms and Systems 9781107044364 100 122 GB Cambridge University Press 2014 Rajagopalan A. N. 340 Chellappa Rama 340