Institute of Information Theory and Automation

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Prof. Ing. Jan Flusser, DrSc.

Vice director for research
Research interests: 
Image processing and pattern recognition
Publications ÚTIA: 

Education & Affiliation

Jan Flusser was born on the 30th April 1962 in Prague, Czech Republic. He received the M.Sc. degree in mathematical engineering from the Faculty of Nuclear Science and Physical Engineering, Czech Technical University, Prague, in 1985, the Ph.D degree in computer science from the Czechoslovak Academy of Sciences in 1990, and the DrSc. degree in technical cybernetics from the Czech Technical University in 2001. Since 1985 he has been with the Institute of Information Theory and Automation. In 1995-2007 he was holding the position of a head of Department of Image Processing and the position of the Director of the Institute from 05/01/2007 to 04/30/2017. Currently he is the Research Director and the Chair of the Board of the Institute.


Jan Flusser's research interest is on the field of invariant-based pattern recognition and image fusion. His main areas are moments and moment invariants, image registration, multichannel blind deconvolution, and super-resolution imaging. He has authored and coauthored more than 200 research publications in these areas, including the books Moments and Moment Invariants in Pattern Recognition (Wiley, 2009), 2D and 3D Image Analysis by Moments (Wiley, 2016), 80 papers in prestigious journals and over 20 tutorials at international conferences (ICIP'05, ICIP'07, EUSIPCO'07, CVPR'08, FUSION'08, SPPRA'09,  ICIP'09, SPPRA'10, CGIM'10, AIA'14, CI'15, and ICPR'16) and invited/keynote talks (ICCS'06, COMPSTAT'06, WIO'06, DICTA'07, CGIM'08, and SCIA'09). His publications have received over 10 000 citations. Jan Flusser has been involved in numerous research projects (both Czech and international ones) and in successful applications in computer vision, remote sensing, medicine, and astronomy. His work (with co-authors) on image restoration in astronomy was awarded by the Award of the Chairman of the Czech Science Foundation (GA CR) in 2007. In the same year, his team won the Prize of the Academy of Sciences of the Czech Republic for the contribution to image fusion theory. In 2010, he was awarded (jointly with B. Zitova) by the prestigious SCOPUS 1000 Award presented by Elsevier. He received the Felber Medal of the Czech Technical University in 2015 and the Academic Premium awarded by the Czech Academy of Sciences in 2017. Jan Flusser is a coordonator of the research program "Hopes and Threats of Digital Era", which is a part of the new AV21 CAS Strategy. More about the Jan Flusser's research can be found here.

Teaching & Supervising

Since 1991 he has been also affiliated with the Faculty of Mathematics and Physics, Charles University (MFF UK), Prague and with the Faculty of Nuclear Science and Physical Engineering, Czech Technical University (FJFI CVUT), Prague (habilitation in Computer Science at MFF UK in 1998, full professorship in Applied Mathematics at FJFI CVUT in 2004), where he gives undergraduate and graduate courses on Digital Image Processing, Pattern Recognition, and Moment invariants and wavelets. He has been a supervisor of several Ph.D Theses (list) and Master diploma Theses (list). He is also a member of several committees for state examinations, for Ph.D defences in Computer Science, and a Vice-Chair of the committee for  DSc. defences in Computer Science and Cybernetics. He was the founder and the first  Chairman of the Board of Ph.D study in Computer Graphics and Image Analysis at MFF UK (2012-2016). He is a member of the Board of Ph.D study in Mathematical Engineering at FJFI CVUT, and a member of the Board of Ph.D study in Artificial Intelligence and Biocybernetics at FEL CVUT. Jan Flusser acts also as an external supervisor of Ph.D students in Computer Science at the Unversity of Technology Malaysia, Johor Bahru.

Organizing & Others

Jan Flusser has been a member of numerous program and organizing committees at international conferences and personally organized and chaired two special sessions (COMPSTAT'06 and CGIM'08). He is a member of the Editorial Board of the journal Kybernetika, a member of the Czech Committee for Mathematics (IMU), a member of the Scientific Board of the University of West Bohemia, a member of the Scientific Board of the Faculty of Mathematics and Physics, Charles University (2012-2016); a member of the Scientific Board of the Faculty of Management, the University of Economics, a member of the Scientific Board of the Faculty of Informatics, the Masaryk University Brno (2010-2014), a member of the Scientific Board of the Faculty of Science of the UJEP in Ústí nad Labem,  and a Senior Member of the IEEE.

admin: 2018-01-08 21:33

Person detail

Duration: 2012 - 2014
The project deals with interdisciplinary research of digital image processing methods applied to analysis and conservation of artworks. The aim is development of image processing methods for multimodal data acquired during the analysis of historical artworks exploiting the knowledge of multispectral properties of dyes, used for artwork creation.
Duration: 2011 - 2013
The project deals with generalization of existing theory of moment invariants, with derivation of new invariants for object description and recognition, with proposal of stable and efficient numerical algorithms for their computation, and with their software implementation in a form of MATLAB toolbox.
Duration: 2009 - 2010
The project proposal belongs to the area of digital image processing and deals with sophisticated methods for image enhancement/restoration.
Duration: 2008 - 2010
This project concerns superresolution (SR) of digital images and videos. SR means an improvement of spatial resolution of images beyond the physical limit of the sensor. The central idea of SR is combining a sequence of low-resolution images in order to produce higher resolution image.
Duration: 2007 - 2008
The project proposal is a continuation of our current joint project “Multifocus and multimodal image fusion techniques for biomedical applications” and the previous one “New developments on multimodality image fusion and spatial variant image processing”, which both have been very successful.