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Proceedings Paper

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

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 at different 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.

Paper Details

Date Published: 7 September 2010
PDF: 9 pages
Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 779821 (7 September 2010); doi: 10.1117/12.859685
Show Author Affiliations
Jan Švihlík, Institute of Chemical Technology (Czech Republic)
Karel Fliegel, Czech Technical Univ. in Prague (Czech Republic)
Petr Páta, Czech Technical Univ. in Prague (Czech Republic)
Stanislav Vítek, Czech Technical Univ. in Prague (Czech Republic)
Pavel Koten, Academy of Sciences of the Czech Republic (Czech Republic)

Published in SPIE Proceedings Vol. 7798:
Applications of Digital Image Processing XXXIII
Andrew G. Tescher, Editor(s)

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