Institute of Information Theory and Automation

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Doc. Ing. Filip Šroubek, Ph.D. DSc.

Position: 
deputy head of the department
Mail: 
Room: 
Fax: 
284680730
Phone: 
266052527
Research interests: 
image restoration, blind deconvolution, superresolution
Publications ÚTIA: 
list

Filip Šroubek received the M.Sc. degree in computer science from the Czech Technical University, Prague, Czech Republic in 1998 and the Ph.D. degree in computer science from Charles University, Prague, Czech Republic in 2003. From 2004 to 2006, he was on a postdoctoral position in the Instituto de Optica, CSIC, Madrid, Spain. In 2010/2011 he received a Fulbright Visiting Scholarship at the University of California, Santa Cruz. Currently he is with the Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic.

Curriculum Vitae

See more information (publications, examples, MATLAB tools) in section Image restoration

2017-11-07 09:24

Person detail

Duration: 2018 - 2020
Objects moving fast with respect to the camera appear blurred when observed. Surprisingly this common phenomenon has not yet been considered and analyzed by the computer vision community. It is the blur that encodes information about the object motion properties. Instead of considering blur as a nuisance, the project proposes to take it as a cue for detection and tracking of fast moving objects.
Duration: 2017 - 2019
The basis of the project is the implementation of Industry 4.0 principles during production and repairs of constructional layers of surface transportation.The aim is the automation and optimization of the technological process of measuring and processing data about the surface of ground transportation by virtualization of all technological processes including the establishment of particular metho
Duration: 2014 - 2017
The aim of the proposed project is the development of a new ultrasonic equipment (US), allowing early detection of breast cancer and reduce the need to use the ionizing radiation during examinations. The aim is to eliminate the disadvantages of current ultrasonic systems in the diagnosis of breast cancer, which hinders its use.
Duration: 2013 - 2016
We addresses one of the key problems of image processing, which is restoration of a latent image from its degraded observations. As the main source of degradation we consider convolution with a unknown blur. The restoration task is a blind deconvolution problem, which is intrinsically ill-posed.

Current

Graduates

Ing. Tomáš Kerepecký
RNDr. Jan Kotera
Matematicko-fyzikální fakulta UK