0080188 20240103183953.820070314235959.9 1 s. cav_un_epca*00803771-1GöttingenUniversitätsverlag Göttingen2007 image restoration multichannel restoration cav_un_auth*0101093 Haindl Michal UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0100099 Šimberová Stanislava ASU-R Department of Solar Physics - Team 1 Astronomický ústav AV ČR, v. v. i. 09K 1ET400750407 GA AV ČR cav_un_auth*0001797 1M0572 GA MŠk cav_un_auth*0001814 GA102/04/0155 GA ČR cav_un_auth*0001806 2C06019 MŠk cav_un_auth*0216518 CEZ:AV0Z10750506 A multichannel fast adaptive recursive restoration method based on the underlying spatial probabilistic image model is presented. The method assumes linear degradation model with the unknown possibly non-homogeneous point-spread function and additive noise for each of mutually registered degraded observations. Pixels in the vicinity of image steep discontinuities are left unrestored to minimize restoration blurring effect. The method is completely autonomous and doesn't assume any knowledge of the underlying degradation process. The algorithm is verified on the artificial data with known ideal image. In the multichannel input are blurred channels created from the ideal image using various degradation functions. Then the method is applied to the real optical solar data. The experiments are carried on the synthetic data set and on a sequence of the short-exposure solar photosphere images. The multichannel input is presented by the temporal plains of a data cube. The results are compared under the most frequented criterions of image quality. The method can be also easily and naturally generalized for multispectral (e.g. colour, multispectral satellite images) or registered images which is seldom the case for alternative methods. Viz. anglický abstrakt. cav_un_auth*0235395 Modern solar facilities - advanced solar science Göttingen 27.09.2006-29.09.2006 DE 2007 BD http://hdl.handle.net/11104/0144596 2007 cav_un_epca*0080377 Proceedings of Abstracts of Modern Solar Facilities - Advanced Solar Science 1 1 Göttingen Universitätsverlag Göttingen 2007