0376463 20240103200828.020120511235959.9 000302181800075 84859039604 10.1109/TIP.2011.2176344 6 s. cav_un_epca*02532351057-7149214 (2012)2329-2334Institute of Electrical and Electronics Engineers image processing deblurring sparsity cav_un_auth*0108377 Šorel Michal 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/ZOI/sorel-0376463.pdf 1M0572 GA MŠk cav_un_auth*0001814 CEZ:AV0Z10750506 We propose a solution to the problem of boundary artifacts appearing in several recently published fast deblurring algorithms based on iterated shrinkage thresholding in a sparse domain and Fourier domain deconvolution. Our approach adapts an idea proposed by Reeves for deconvolution by the Wiener filter. The time of computation less than doubles. 2013 JD 4 A 4a 20231122135031.3 http://hdl.handle.net/11104/0208852 COMPUTERSCIENCEARTIFICIALINTELLIGENCE|ENGINEERINGELECTRICALELECTRONIC 4.017 0.407 7.6 0.03545 1.642 13814 408 156 1.521 35.94 5.36 Q1 95.396 91.170 Q1* Q1* 2012 Soubory v repozitáři: sorel-0376463.pdf 84859039604 SCOPUS 000302181800075 WOS cav_un_epca*0253235 IEEE Transactions on Image Processing 1057-7149 1941-0042 Roč. 21 č. 4 2012 2329 2334 Institute of Electrical and Electronics Engineers