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: 2011 - 2014
GenEx - System for support of the FISH method evaluation The goal of this project is to develop a system for computer-aided evaluation of molecular cytogenetic analyses. The primary use of the system is in evaluation of image data originating from the FISH (Fluorescence In-Situ Hybridization) analysis.
Duration: 2009 - 2010
The project proposal belongs to the area of digital image processing and deals with sophisticated methods for image enhancement/restoration.