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
2017-02-08 12:55

Department detail

Ing. Michal Bartoš Ph.D.
RNDr. Zuzana Bílková
RNDr. Jan Blažek Ph.D.
Mgr. Jiří Boldyš Ph.D.
Mgr. Adam Dominec
Ing. Vít Hanousek
Dr. Barmak Honarvar Shakibaei Asli Ph.D.
RNDr. Cyril Höschl Ph.D.
Ing. Jan Kamenický Ph.D.
Ing. Tomáš Kerepecký
Ing. Jitka Kostková
RNDr. Jan Kotera
Mgr. Matěj Lébl
Ing. Babak Mahdian Ph.D.
Jiří Nábělek
Ing. Adam Novozámský Ph.D.
Mgr. Markéta Paroubková
Ing. Stanislav Saic CSc.
Dr. Ing. Jan Schier
RNDr. Michal Šorel Ph.D.
Ing. Lubomír Soukup Ph.D.
Doc. Ing. Filip Šroubek Ph.D. DSc.
Ing. Tomáš Suk Ph.D. DSc.
Jana Švarcová
Ing. Milan Talich Ph.D.
Bc. Oldřich Vlašic
Ing. Hynek Walner
RNDr. Aleš Zita
Doc. RNDr. Barbara Zitová Ph.D.
Duration: 2016 - 2018
Perfusion analysis is an important experimental technique used for diagnostics and evaluation of therapy response. Analysis based on magnetic resonance (MR) helps in identifying the state and dynamic behaviour of oncological and cardiovascular diseases and enables bettertreatment.
Duration: 2015 - 2017
The project falls into the area of image analysis and object recognition. We mainly focus on two important connected areas: object description by invariant features and image fusion. The theoretical concept is based on the formulation of all tasks as optimization problems and looking for proper cost functions and algorithms for their maximization.
Duration: 2015 - 2020
This research program is a part of the AV21 Strategy of the CAS.
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/