Meteor automatic imager and analyzer: analysis of noise characteristics and possible noise suppression

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00171355" target="_blank" >RIV/68407700:21230/10:00171355 - isvavai.cz</a>
Alternative codes found
RIV/60461373:22340/10:00023512 RIV/67985815:_____/10:00429746
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Meteor automatic imager and analyzer: analysis of noise characteristics and possible noise suppression
Original language description
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 Imager and Analyzer). The noise analysis is based on acquisition of testing video sequences atdifferent light conditions and their further analysis. The main goal is to find a suitable noise model and subsequently determine if the noise is signal dependent or not. Noise and image model in the wavelet domain should be based on Gaussian mixture model (GMM) or Generalized Laplacian Model (GLM) and the model parameters should be estimated by moment method. GMM and GLM allow to model various types of probability density functions. Finally the advanced de-noising algorithm using Bayesian estimator will be applied.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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