Institute of Information Theory and Automation

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Department of Image Processing

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The Department is involved in basic research in image processing and pictorial pattern recognition. Major application areas are biomedicine, remote sensing, astronomy, and art conservation.

Main scientific areas
  • Recognition of distorted images and patterns by invariant descriptors regardless of their actual position in the scene
  • Registration and fusion of several images of the same scene taken at different times, by different sensors and/or from different viewpoints in order to obtain information of higher quality
  • Theory of moment invariants, namely of rotation invariants, affine invariants and invariants to convolution
  • Restoration of degraded images, namely multichannel blind deconvolution, edgepreserving denoising, local contrast enhancement, and color transformations
  • Image forensics - detection of image forgeries
  • Cultural heritage applications - cooperation with art conservators in order to facilitate the conservation and material analysis work
admin: 2017-02-08 12:55

Department detail

2010-06-05
The Spring School of Image Processing is a popular meeting point of students and researchers from several Czech...
2009-11-03
New monograph Moments and Moment Invariants in Pattern Recognition, Wiley & Sons Ltd., 2009 (317 pp., ISBN 978-0-...
2008-06-08
Akademická rada Akademie věd ČR, na základě návrhu poroty pro udělování Prémií Otto Wichterleho mladým vědeckým...
2007-02-28
V roce 2007 byla udělena Cena předsedy Grantové agentury ČR 2007 prof. Ing. Janu Flusserovi, DrSc. za projekt - Fúze...
2007-06-25
Za dosažené vynikající výsledky velkého vědeckého významu obdržel ocenění 26. června 2007 ve vile Lanna autorský tým (...
2001-12-31
Akademická rada Akademie věd ČR, na základě návrhu poroty pro udělování Prémií Otto Wichterleho mladým vědeckým...
2003-06-30
Hlávkovu cenu pro mladé vědecké pracovníky získala v roce 2003 RNDr. Barbara Zitová, Ph.D. z Ústavu teorie informace a...
Ing. Michal Bartoš Ph.D.
RNDr. Zuzana Bílková
Mgr. Jan Blažek
Mgr. Jiří Boldyš Ph.D.
Mgr. Jiří Dvořák Ph.D.
Dr. Barmak Honarvar Shakibaei Asli Ph.D.
RNDr. Cyril Höschl Ph.D.
Ing. Jan Kamenický Ph.D.
Ing. Jitka Kostková
Mgr. Jan Kotera
Ing. Babak Mahdian Ph.D.
Ing. Adam Novozámský Ph.D.
Ing. Martin Papík Ph.D.
Ing. Stanislav Saic CSc.
Dr. Ing. Jan Schier
Ing. Lubomír Soukup Ph.D.
Ing. Tomáš Suk Ph.D. DSc.
RNDr. Michal Šorel Ph.D.
Doc. Ing. Filip Šroubek Ph.D. DSc.
Jana Švarcová
Ing. Milan Talich Ph.D.
Ing. Hynek Walner
RNDr. Aleš Zita
Doc. RNDr. Barbara Zitová Ph.D.
Duration: 2014 - 2017
The goal of the project is to develop a sophisticated software for videokymography (VKG) which will enable automatic evaluation of medical videokymographic recordings of vibrating vocal folds and arrive at correct medical diagnosis. Further goal is to develop a certified method of VKG evaluation to be used in clinical practice.
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: 2014 - 2017
ALMARVI project targets low-power adaptive platform solution for healthcare, smart phone and security industries which are as part of big societal challenges affordable healthcare and wellbeing and green and safe transportation. ALMARVI aims at providing cross-domain many-core platform solution, system software stack, tool chain, and adaptive algorithms that will enable massive data-rate image/
Duration: 2013 - 2015
In the past decade, we have seen a remarkable growth in ability to capture and distribute digital videos. But, taking into consideration the availability of too many powerful and user-friendly video editors, the question is how to verify the authenticity of these digital videos. The problem becomes crucial, when it comes to videos used in courts as evidences or journalism.
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.