Analysis and Suppression of Noise in Astronomical Video

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F11%3A43892441" target="_blank" >RIV/60461373:22340/11:43892441 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21230/11:00227502 RIV/67985815:_____/11:00481711

Výsledek na webu

<a href="http://dx.doi.org/10.1109/RADIOELEK.2011.5936386" target="_blank" >http://dx.doi.org/10.1109/RADIOELEK.2011.5936386</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/RADIOELEK.2011.5936386" target="_blank" >10.1109/RADIOELEK.2011.5936386</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Analysis and Suppression of Noise in Astronomical Video

Popis výsledku v původním jazyce

This paper is devoted to noise suppression in systems for double station observation of meteors, nowadays known as MAIA (Meteor Automatic Imager and Analyzer). The noise analysis based on acquisition of testing video sequences at different lighting conditions and their statistical evaluation were described in our previous paper. The measurement showed that the type of noise generated by the system is signal-independent in a certain illumination range. The noise and image models in the wavelet domain arebased on the Generalized Laplacian Model (GLM) and it is the most convenient to estimate the model parameters using the moment method. Furthermore, the noise component may be modeled by the GLM also in the space domain. Overall, we verified that the GLMallows for modeling various types of probability density functions. In the final section of this paper, the performance of the proposed advanced de-noising algorithm is verified on the real data, which were acquired in the Astronomical I

Název v anglickém jazyce

Analysis and Suppression of Noise in Astronomical Video

Popis výsledku anglicky

This paper is devoted to noise suppression in systems for double station observation of meteors, nowadays known as MAIA (Meteor Automatic Imager and Analyzer). The noise analysis based on acquisition of testing video sequences at different lighting conditions and their statistical evaluation were described in our previous paper. The measurement showed that the type of noise generated by the system is signal-independent in a certain illumination range. The noise and image models in the wavelet domain arebased on the Generalized Laplacian Model (GLM) and it is the most convenient to estimate the model parameters using the moment method. Furthermore, the noise component may be modeled by the GLM also in the space domain. Overall, we verified that the GLMallows for modeling various types of probability density functions. In the final section of this paper, the performance of the proposed advanced de-noising algorithm is verified on the real data, which were acquired in the Astronomical I

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of 21st International Conference Radioelektronika 2011

ISBN

978-1-61284-322-3

ISSN

—

e-ISSN

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Počet stran výsledku

4

Strana od-do

273-276

Název nakladatele

Department of Radio Electronics, Brno University of Technology

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

19. 4. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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