Institute of Information Theory and Automation

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Doc. Ing. Filip Šroubek, Ph.D. DSc.

deputy head of the department
Research interests: 
image restoration, blind deconvolution, superresolution
Publications ÚTIA: 

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. In 2014, he became a research professor in Physico-Mathematical Sciences (Informatics and Cybernetics) at the Czech Academy of Sciences. In 2016, he became an associate professor at the Faculty of Mathematics and Physics, Charles University. Currently he is the deputy head of the Department of Image Processing.

Curriculum Vitae

Google Scholar

Selected publications:

Molecularly targeted protease-activated probes for visualization of glioblastoma: a comparison with 5-ALA
Konečná D., Výmola P., Ternerová N., Výmolová B., Garcia-Borja E., Mateu R., Šroubek F., Pankrác J., Widen J.C., Bogyo M., Netuka D., Bušek P., Šedo A.
Journal of Neurosurgery [2024]
DOI: 10.3171/2024.1.JNS231137

Blur Invariants for Image Recognition
Flusser Jan, Lébl Matěj, Šroubek Filip, Pedone M., Kostková Jitka
International Journal of Computer Vision vol.131, 9, p. 2298-2315 [2023]
DOI: 10.1007/s11263-023-01798-7

FCHO controls AP2’s initiating role in endocytosis through a PtdIns(4,5)P2-dependent switch>
Zaccai N.R., Kadlecova Z., Dickson V.K., Korobchevskaya K., Kamenický Jan, Kovtun O., Umasankar P.K., Wrobel A.G., Kaufman J.G.G., Gray S.R., Qu K., Evans P.R., Fritzsche M., Šroubek Filip, Höning S., Briggs J. A. G., Kelly B.T., Owen D.J., Traub L.M.
Science Advances vol.8, eabn2018 [2022]
DOI: 10.1126/sciadv.abn2018

Spectral Pre-Adaptation for Restoring Real-World Blurred Images using Standard Deconvolution Methods
Dong Ch., Šroubek Filip, Portilla J.
Image Processing On Line vol.12, 1, p. 218-246 [2022]
DOI: 10.5201/ipol.2022.385

Precise International Roughness Index Calculation
Šroubek Filip, Šorel Michal, Žák J.
International Journal of Pavement Research and Technology vol.15, 6, p. 1413-1419 [2022]
DOI: 10.1007/s42947-021-00097-z

Blur-Invariant Similarity Measurement of Images
Lébl Matěj, Šroubek Filip, Flusser Jan
IEEE Transactions on Pattern Analysis and Machine Intelligence vol.43, 8, p. 2882-2884 [2021]
DOI: 10.1109/TPAMI.2020.3036630

Tracking by Deblatting
Rozumnyi D., Kotera Jan, Šroubek Filip, Matas J.
International Journal of Computer Vision vol.129, 9, p. 2583-2604 [2021]
DOI: 10.1007/s11263-021-01480-w
Honorable Mention at GCPR 2019

Restoration of Fast Moving Objects
Kotera Jan, Matas J., Šroubek Filip
IEEE Transactions on Image Processing vol.29, 1, p. 8577-8589 [2020]
DOI: 10.1109/TIP.2020.3016490

Image Restoration in Portable Devices: Algorithms and Optimization
Kamenický Jan, Šroubek Filip, Zitová Barbara, Hannuksela J., Turtinen M.
Journal of Signal Processing Systems for Signal Image and Video Technology vol.91, 1, p. 9-20 [2019]
DOI: 10.1007/s11265-018-1410-7

A computer-assisted system for handheld whole-breast ultrasonography
Šroubek Filip, Bartoš Michal, Schier Jan, Bílková Zuzana, Zitová Barbara, Vydra J., Macová I., Daneš J., Lambert L.
International Journal of Computer Assisted Radiology and Surgery vol.14, 3, p. 509-516 [2019]
DOI: 10.1007/s11548-018-01909-7

Blind Deconvolution With Model Discrepancies
Kotera Jan, Šmídl Václav, Šroubek Filip
IEEE Transactions on Image Processing vol.26, 5, p. 2533-2544 [2017]
DOI: 10.1109/TIP.2017.2676981

Fast convolutional sparse coding using matrix inversion lemma
Šorel Michal, Šroubek Filip
Digital Signal Processing vol.55, 1, p. 44-51 [2016]
DOI: 10.1016/j.dsp.2016.04.012

Decomposition of Space-Variant Blur in Image Deconvolution
Šroubek Filip, Kamenický Jan, Lu Y. M.
IEEE Signal Processing Letters vol.23, 3, p. 346-350 [2016]
DOI: 10.1109/LSP.2016.2519764

PSF accuracy measure for evaluation of blur estimation algorithms
Kotera Jan, Zitová Barbara, Šroubek Filip
Proceedings of the 2015 IEEE International Conference on Image Processing, ICIP, p. 2080-2084, [2015]
DOI: 10.1109/ICIP.2015.7351167
Top 10% paper

Image deblurring in smartphone devices using built-in inertial measurement sensors
Šindelář O., Šroubek Filip
Journal of Electronic Imaging vol.22, 1 [2013]
DOI: 10.1117/1.JEI.22.1.011003

Blind Deconvolution Using Alternating Maximum a Posteriori Estimation with Heavy-Tailed Priors
Kotera Jan, Šroubek Filip, Milanfar P.
Computer Analysis of Images and Patterns, p. 59-66, Computer Analysis of Images and Patterns [2013]
Outstanding Contribution Award

Robust Multichannel Blind Deconvolution via Fast Alternating Minimization
Šroubek Filip, Milanfar P.
IEEE Transactions on Image Processing vol.21, 4, p. 1687-1700 [2012]
DOI: 10.1109/TIP.2011.2175740

A Unified Approach to Superresolution and Multichannel Blind Deconvolution
Šroubek Filip, Cristóbal G., Flusser Jan
IEEE Transactions on Image Processing vol.16, 9, p. 2322-2332 [2007]

Multichannel blind deconvolution of spatially misaligned images
Šroubek Filip, Flusser Jan
IEEE Transactions on Image Processing vol.14, 7, p. 874-883 [2005]

See more information (research activities, highlights, tools) in section Research

2024-04-16 10:30

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.



Mgr. Adam Harmanec
Ing. Tomáš Kerepecký
RNDr. Jan Kotera Ph.D.
Fakulta jaderná a fyzikálně-inženýrská ČVUT
Matematicko-fyzikální fakulta UK