0467530 20240103213204.520161219235959.9 3 E cav_un_epca*0467529CancunIAPR2016 Blur image restoration image analysis cav_un_auth*0101087 Flusser Jan 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. cav_un_auth*0101209 Šroubek Filip 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. cav_un_auth*0101238 Zitová Barbara 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/2016/ZOI/flusser-0467530.pdf cav_un_auth*0314467 GA15-16928S GA ČR Blur is an inevitable unwanted phenomenon, which is present in all digital images. It results in smoothing high-frequency details, which makes the image analysis difficult. Heavy blur may degrade the image so seriously, that neither automatic analysis nor visual interpretation of the content are possible. If we did not have proper tools for processing and analyzing blurred images, many unique images would become useless. Two major approaches to handling blurred images exist. They are more complementary rather than concurrent; each of them is appropriate for different tasks and employs different mathematical methods and algorithms. cav_un_auth*0339744 International Conference on Pattern Recognition 2016 /23./ 20161204 Cancun MX 20161208 JD 2017 3 4 O 4o 20231122142122.4 ZP RVO:67985556 http://hdl.handle.net/11104/0265624 1 S 2016 Soubory v repozitáři: 0467530.pdf SCOPUS PUBMED WOS cav_un_epca*0467529 Proceedings of the 23rd International Conference on Pattern Recognition Cancun IAPR 2016