0411117 20240103182303.120060210235959.9 13 s. cav_un_epca*02532351057-7149129 (2003)1094-1106Institute of Electrical and Electronics Engineers conjugate gradient half-quadratic regularization multichannel blind deconvolution 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*0101087 Flusser Jan UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/prace/20030104.pdf 09K GA102/00/1711 GA ČR cav_un_auth*0004052 CEZ:AV0Z1075907 Very recently, an eigenvector-based method (EVAM) was proposed for a multichannel framework. We propose a novel iterative algorithm based on recent anisotropic denoising techniques of total variation and a Mumford-Shah functional with the EVAM restoration condition included. The algorithm performs well even on very noisy images and does not require an exact estimation of mask orders. We demonstrate capabilities of the algorithm on synthetic data, defocused images and on astronomical data. BD ZOI http://hdl.handle.net/11104/0131204 UTIA-B 20030104 2003 cav_un_epca*0253235 IEEE Transactions on Image Processing 1057-7149 1941-0042 Roč. 12 č. 9 2003 1094 1106 Institute of Electrical and Electronics Engineers