0559599 20240903204336.320220802235959.9 85135334269 000827936600001 10.5201/ipol.2022.385 Spectral Pre-Adaptation for Restoring Real-World Blurred Images using Standard Deconvolution Methods 29 s. P cav_un_epca*05595982105-1232Image Processing On Line121 (2022)218-246IPOL image restoration non-circulant deconvolution maximum likelihood interpolation model discrepancies missing samples cav_un_auth*0433868 Dong Ch. SG cav_un_auth*0101209 Šroubek Filip UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0433869 Portilla J. ES pdf 5MB http://library.utia.cas.cz/separaty/2022/ZOI/sroubek-0559599.pdf https://doi.org/10.5201/ipol.2022.385 GA20-27939S GA ČR cav_un_auth*0391986 We present spectral pre-adaptation that pre-processes blurred images so they can be restored using fast standard deconvolution algorithms suitable for simplified models. WOS JD 10000 10200 10201 2023 3 RVO:67985556 https://hdl.handle.net/11104/0333417 S 3+4 Article Computer Science Software Engineering A COMPUTERSCIENCE.SOFTWAREENGINEERING 1.5 0.3 9.8 0.00032 0.397 741 0.348 1.000 18 Q4 0.36 Q4 2022 85135334269 SCOPUS PUBMED 000827936600001 WOS pdf 5MB cav_un_epca*0559598 Image Processing On Line 2105-1232 2105-1232 Roč. 12 č. 1 2022 218 246 IPOL