0410479 20240103182217.020060210235959.9 0-7695-0750-6 3 Image, Speech and Signal Processing Los Alamitos IEEE Computer Society 2000 4 s. 53-56SanfeliuA.VillanuevaJ. J.VanrellM. cav_un_auth*0101209 Šroubek Filip UTIA-B Department of Image Processing 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. cav_un_auth*0101087 Flusser Jan UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101203 Suk Tomáš UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/prace/20000195.ps 09K GA102/98/P069 GA ČR cav_un_auth*0004407 GA102/00/1711 GA ČR cav_un_auth*0004052 AV0Z1075907 A new multichannel blind deconvolution method based on the subspace technique is presented. When at least two differently degraded images of the original scene are provided, the method is better conditioned than classical single channel ones. In comparison with other multichannel blind deconvolution techniques the subspace method is not iterative and this possibly implies an implementation that can be computationally more efficient. An application of the method to the restoration of sunspot images is given. cav_un_auth*0212673 IAPR International Conference on Pattern Recognition /15./ Barcelona ES 03.09.2000-07.09.2000 JD ZOI http://hdl.handle.net/11104/0130568 UTIA-B 20000195 2000 2000 Los Alamitos IEEE Computer Society 0-7695-0750-6 Proceedings of the 15th IAPR International Conference on Pattern Recognition 53 56 Sanfeliu A. 340 Villanueva J. J. 340 Vanrell M. 340