0450662 20240103211221.520160229235959.9 84956630926 000371977802039 10.1109/ICIP.2015.7351167 5 s. C cav_un_epca*0450645978-1-4799-8339-11522-48802080-2084PiscatawayIEEE2015 image deconvolution blur estimation PSF error PSF comparison image restoration cav_un_auth*0293863 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Kotera Jan UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101238 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Zitová Barbara UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101209 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Šroubek Filip UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2015/ZOI/kotera-0450662.pdf cav_un_auth*0292734 GA13-29225S GA ČR cav_un_auth*0302211 938213/2013 GA UK CZ cav_un_auth*0306850 7H14004 GA MŠk Given the large amount of blur estimation and blind deconvolution methods just in the last decade, there is an increasing need to compare the performance of a particular method with others. Unlike in other fields in image processing, there are very few well-established benchmark databases of test data and, more importantly, no standard way of performance evaluation. In this paper, we focus on the latter. We propose a new error measure for the blur kernel – a method for comparison of the blur estimate with the ground truth – which correctly reflects how inaccuracies in the blur estimation affect the subsequent image restoration, without the necessity to perform the actual deconvolution. cav_un_auth*0322185 IEEE International Conference on Image Processing 2015, ICIP 2015 27.09.2015-30.09.2015 Québec City CA JD 2016 3 PO RVO:67985556 http://hdl.handle.net/11104/0251951 S 2015 84956630926 SCOPUS 000371977802039 WOS cav_un_epca*0450645 Proceedings of the 2015 IEEE International Conference on Image Processing, ICIP 2015 978-1-4799-8339-1 1522-4880 2080 2084 Piscataway IEEE 2015