Michal Å orel
Professor
Department of Image Processing
Institute of Information Theory and Automation of the CAS
Czech Republic
Biography
Michal Šorel received the M.Sc. and Ph.D. degrees in computer science from the Charles University in Prague, Czech Republic, in 1999 and 2007, respectively. From 2012 to 2013 he worked on a range of research topics in light-field imaging at the Heriot-Watt University in Edinburgh, Scotland and the University of Bern, Switzerland. Currently he is a research fellow in the Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic. He is a member of the IEEE. Michal Šorel has been a reviewer for the IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, and several other journals and conferences. He organizes the Spring and Winter Schools of Image Processing, popular meeting points of students from several czech institutions involved in image processing research
Research Interest
space-variant restoration, image stabilization, deblurring, noise reduction, super-resolution, blind deconvolution, image registration, machine learning, digital image processing and pattern recognition in general
Publications
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Å orel M, Å roubek F. Fast convolutional sparse coding using matrix inversion lemma. Digital Signal Processing. 2016 Aug 31;55:44-51.
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Kamenicky J, Bartos M, Flusser J, Mahdian B, Kotera J, Novozamsky A, Saic S, Sroubek F, Sorel M, Zita A, Zitova B. PIZZARO: Forensic analysis and restoration of image and video data. Forensic science international. 2016 Jul 31;264:153-66.
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Šorel M, Bartoš M. Fast bayesian JPEG decompression and denoising with tight frame priors. IEEE Transactions on Image Processing. 2017 Jan;26(1):490-501.
