Institute of Information Theory and Automation

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Department of Image Processing

Publications ÚTIA: 
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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: 2007 - 2008
In the process of artwork restoration a restorers report is written, which among others contains materials research of taken microscopic samples. The aim of this research is to identify organic and inorganic compounds using microanalytical methods. The results are used to interpret the painting technique of original paint and re-paints and to describe secondary changes of painting materials.
Duration: 2007 - 2008
The project aims to utilize methods of digital image processing and pattern recognition in automatic classification of phytopathogenic fungi (within a selected taxonomy group) from microscopy images. First, proper biological specimens will be acquired, photographed and documented in cooperation with the Department of Phytopathology.
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.
Duration: 2006 - 2011
Knowledge system, which has been designed, will implement basic tasks with geodata: 1. classification of digital images, 2. georeferencing, 3. definition of basic parametres of the gravity field, 4.
Duration: 2006 - 2007
Cílem projektu je zvýšení rozlišení (superresolution – SR) digitálních snímků a videa. Úkolem SR je vylepšit prostorové rozlišení snímků a překročit fyzikální omezení senzorů. Ústřední myšlenka SR spočívá ve sloučení sekvence snímků s nízkým rozlišením a vytvoření snímku s vysokým rozlišením.