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

Jan Švihlík; Karel Fliegel; Petr Páta; Stanislav Vítek; Pavel Koten

doi:10.1117/12.859685

7 September 2010 Meteor automatic imager and analyzer: analysis of noise characteristics and possible noise suppression

Jan Švihlík, Karel Fliegel, Petr Páta, Stanislav Vítek, Pavel Koten

Proceedings Volume 7798, Applications of Digital Image Processing XXXIII; 779821 (2010) https://doi.org/10.1117/12.859685
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

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.

Citation Download Citation

Jan Švihlík, Karel Fliegel, Petr Páta, Stanislav Vítek, and Pavel Koten "Meteor automatic imager and analyzer: analysis of noise characteristics and possible noise suppression", Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 779821 (7 September 2010); https://doi.org/10.1117/12.859685

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