0442676 20240103205915.720150515235959.9 000349328300046 84923010501 10.1117/12.2073820 6 s. P cav_un_epca*0444004978-1-62841-362-50277-786XWashingtonSPIE2015 medical imaging deconvolution deblurring cav_un_auth*0275488 Marrugo A. ES cav_un_auth*0278222 Millán M. S. ES 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. cav_un_auth*0293863 Kotera 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. http://library.utia.cas.cz/separaty/2015/ZOI/sorel-0442676.pdf GA13-29225S GA ČR cav_un_auth*0292734 Retinal images often suffer from blurring which hinders disease diagnosis and progression assessment. The restoration of the images is carried out by means of blind deconvolution, but the success of the restoration depends on the correct estimation of the point-spread-function (PSF) that blurred the image. The restoration can be space-invariant or space-variant. Because a retinal image has regions without texture or sharp edges, the blind PSF estimation may fail. In this paper we propose a strategy for the correct assessment of PSF estimation in retinal images for restoration by means of space-invariant or space-variant blind deconvolution. Our method is based on a decomposition in Zernike coe cients of the estimated PSFs to identify valid PSFs. This signicantly improves the quality of the image restoration revealed by the increased visibility of small details like small blood vessels and by the lack of restoration artifacts. cav_un_auth*0316785 International Symposium on Medical Information Processing and Analysis 2014 /10./ Cartagena de Indias 10.10.2014-16.10.2014 CO 2016 JD 5 PR RVO:67985556 http://hdl.handle.net/11104/0246617 1 S 0.223 Q4 2015 84923010501 SCOPUS 000349328300046 WOS cav_un_epca*0444004 Proceedings of 10th International Seminar on Medical Information Processing and Analysis (SIPAIM) 2014 978-1-62841-362-5 0277-786X Washington SPIE 2015 SPIE proceedings 9287