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Institute of Information Theory and Automation
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Projects
Dept.: ZOI
Duration: 2018
- 2020
Objects moving fast with respect to the camera appear blurred when observed. Surprisingly this common phenomenon has not yet been considered and analyzed by the computer vision
community. It is the blur that encodes information about the object motion properties. Instead of considering blur as a nuisance, the project proposes to take it as a cue for detection and tracking of fast moving objects...
Dept.: ZOI
Duration: 2017
- 2019
The basis of the project is the implementation of Industry 4.0 principles during production and repairs of constructional layers of surface transportation.The aim is the automation and optimization of the technological process of measuring and processing data about the surface of ground transportation by virtualization of all technological processes including the establishment of particular...
Dept.: ZOI
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. The target parameters include prospecting and automated description...
Dept.: ZOI
Duration: 2013
- 2016
We addresses one of the key problems of image processing, which is restoration of a latent image from its degraded observations. As the main source of degradation we consider convolution with a unknown blur. The restoration task is a blind deconvolution problem, which is intrinsically ill-posed. We will study conditions under which the single-channel (single observation) case can be expressed...
Dept.: ZOI
Duration: 2010
- 2013
Dept.: ZOI
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. Současné SR metody předpokládají pouze velmi zjednodušené modely, které nedovolují nasazení metod v praxi...
Dept.: ZOI
Duration: 2004
- 2006