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
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: 2013 - 2015
Automatic processing of microscopic images allows (compared to manual processing by human operator) a better and more efficient acquisition of a large amount of information stored in the captured images. When working with time-lapse images, we need to segment cells from the background, to determine their exact boundaries and monitor their movements.
Duration: 2013 - 2015
Digital image acquisition is often accompanied with its degradation by blur (out-of-focus, motion etc.) and noise. In many cases, the degradation process can be modeled by convolution g=u*h+n where g denotes the acquired image, u the original image, h the convolution mask (blur), and n random noise. The goal of deconvolution is to recover the original image based on the observed image.
Duration: 2012 - 2014
The project deals with interdisciplinary research of digital image processing methods applied to analysis and conservation of artworks. The aim is development of image processing methods for multimodal data acquired during the analysis of historical artworks exploiting the knowledge of multispectral properties of dyes, used for artwork creation.
Duration: 2012 - 2016
Main purpose of the project is to facilitate czech geodetic enterprises to utilize progressive measuring and monitoring technology based on terrestrial radar interferometry (InSAR) to determine deformations of important and hazardous buildings, natural sites and localities such as dams, highway bridges, breast-walls, cooling towers, rocks, slide slopes, erosive sites and so on.
Duration: 2011 - 2013
The project deals with generalization of existing theory of moment invariants, with derivation of new invariants for object description and recognition, with proposal of stable and efficient numerical algorithms for their computation, and with their software implementation in a form of MATLAB toolbox.