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
Mgr. Jiří Dvořák Ph.D.
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.
Ing. Adam Novozámský Ph.D.
Ing. Martin Papík Ph.D.
Mgr. Markéta Paroubková
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.
Bc. Oldřich Vlašic
Ing. Hynek Walner
RNDr. Aleš Zita
Doc. RNDr. Barbara Zitová Ph.D.
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: 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.
Duration: 2005 - 2006
The goal of the proposal is to develop new image deconvolution and fusion algorithms, which will be applicable in real conditions. We will concentrate mainly on fusion of multifocus images (i.e. images taken with different focal length) and multimodal images (i.e.