0385357 20240103201737.920121220235959.9 000316318400076 10.1109/DICTA.2012.6411740 7 s. P cav_un_epca*0385356978-1-4673-2180-81-7PiscatawayIEEE Press2012 image restoration image recognition cav_un_auth*0100099 Šimberová Stanislava Sluneční oddělení Department of Solar Physics ASU-R Department of Solar Physics - Team 1 Astronomický ústav AV ČR, v. v. i. cav_un_auth*0101093 Haindl Michal Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. 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. http://library.utia.cas.cz/separaty/2012/RO/haindl-fine structure recognition in multichannel observations.pdf 409/2011 CESNET CZ GAP103/11/1552 GA ČR cav_un_auth*0273618 GA102/08/1593 GA ČR cav_un_auth*0239572 GA102/08/0593 GA ČR cav_un_auth*0239567 Two restoration methods applied to the multitemporal solar images are presented. Our main goal is to model and remove degradation in a subimage, where a specific event is investigated. Using information of the input (blurred) channels within a short observed sequence a new undegraded image is reconstructed. Degradation is assumed to follow a linear degradation model with an unknown possibly non-homogeneous point spread function (PSF) and additive noise. The first method ({/bf VAM}) is based on multichannel blind deconvolution (MBD) using a variational approach to blur estimation, while the second one ({/bf SAM}) supposes solution of the multidimensional causal regressive model representing the degraded image (channel). Experimental image data are from the ground based observation (white light) and satellite SOHO mission - EIT (EUV). Contributions of both suggested methods and their generalization are discussed. cav_un_auth*0286770 International Conference on Digital Image Computing Techniques and Applications (DICTA) 2012 Fremantle 03.12.2012-05.12.2012 AU 2013 BD 3 PR ASU-R BN RVO:67985556 RVO:67985815 http://hdl.handle.net/11104/0007445 2012 000316318400076 WOS cav_un_epca*0385356 International Conference on Digital Image Computing Techniques and Applications (DICTA) 2012 978-1-4673-2180-8 1 7 Piscataway IEEE Press 2012