Search Results - "Svihlik, J."

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  1. 1

    Point Spread Functions in Identification of Astronomical Objects from Poisson Noised Image by Mojzis, F., Kukal, J., Svihlik, J.

    Published in Radioengineering (01-04-2016)
    “…This article deals with modeling of astronomical objects, which is one of the most fundamental topics in astronomical science. Introduction part is focused on…”
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    Journal Article
  2. 2

    Modeling of Scientific Images Using GMM by J. Svihlik

    Published in Radioengineering (01-12-2009)
    “…This paper deals with modeling of scientific and multimedia images in the wavelet domain. Images transformed into wavelet domain have a special shape of…”
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    Journal Article
  3. 3

    Dark current elimination in security imaging systems by Svihlik, J.

    “…This paper deals with advanced method for elimination of the dark current in security images acquired by simple camera with charged coupled device (CCD)…”
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    Conference Proceeding
  4. 4

    Measurement and Analysis of Real Imaging Systems by F. Mojzis, J. Svihlik, K. Fliegel, L. Knazovicka, E. Jerhotova

    Published in Radioengineering (01-04-2012)
    “…This paper is devoted to statistical analysis of noise generated in real imaging systems and noise suppression methods. The introductory part is focused on…”
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    Journal Article
  5. 5

    Noise Analysis of MAIA System and Possible Noise Suppression by J. Svihlik, K. Fliegel, P. Koten, S. Vitek, P. Pata

    Published in Radioengineering (01-04-2011)
    “…This paper is devoted to the noise analysis and noise suppression in a system for double station observation of the meteors now known as MAIA (Meteor Automatic…”
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    Journal Article
  6. 6

    Elimination of Thermally Generated Charge in Charged Coupled Devices Using Bayesian Estimator by J. Svihlik, P. Pata

    Published in Radioengineering (01-06-2008)
    “…This paper deals with advanced methods for elimination of thermally generated charge in astronomical images, which were acquired by a Charged Coupled Device…”
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    Journal Article
  7. 7

    Experimental Verification of a Posteriori Quality Enhancement of Security Images by Klima, M., Fliegel, K., Svihlik, J.

    “…The image quality is a crucial issue in the applied imaging system incl. security. The security imaging systems have special qualitative requirements - the…”
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    Conference Proceeding
  8. 8

    Quality Enhancement in Security Image Information by Klima, M., Fliegel, K., Svihlik, J.

    “…The image quality of image or video information is a crucial issue in security imaging systems. Our paper deals with three different points - a posteriori…”
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    Conference Proceeding
  9. 9

    Astronomical systems analysis and object detection by Mojzis, Frantisek, Kukal, J., Svihlik, J.

    “…This paper is devoted to the astronomical systems analysis and object detection in images acquired by these systems. It brings general overview of object…”
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    Conference Proceeding
  10. 10

    Model Parameters Estimation Using Jeffrey Divergence by Svihlik, J.

    “…The most efficient image noise removal methods are based on the statistical models of the wavelet coefficients. These statistical models can be one or two…”
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    Conference Proceeding
  11. 11

    Analysis and suppression of noise in astronomical video by Svihlik, J., Fliegel, K., Koten, P., Jerhotova, E., Vitek, S., Pata, P.

    “…This paper is devoted to noise suppression in systems for double station observation of meteors, nowadays known as MAIA (Meteor Automatic Imager and Analyzer)…”
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    Conference Proceeding
  12. 12

    Dark Frame Correction Via Bayesian Estimator in the Wavelet Domain by Svihlik, J., Pata, P.

    “…It is generally known that every astronomical image which was acquired by a CCD sensor, have to be corrected by the dark frame. The dark frame maps the dark…”
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    Conference Proceeding
  13. 13

    PDF Model of Multimedia and Scientific Images in the Wavelet Domain by Svihlik, J., Pata, P.

    Published in Proceedings ELMAR 2006 (01-06-2006)
    “…This work deals with a statistical model of the marginal probability density function (PDF) of digital images in the wavelet domain. Estimation of parameters…”
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    Conference Proceeding