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A Multiscale Vision Model applied to analyze EIT images of the solar corona

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Abstract

The large dynamic range provided by the SOHO/EIT CCD (1 : 5000) is needed to observe the large EUV zoom of coronal structures from coronal homes up to flares. Histograms show that often a wide dynamic range is present in each image. Extracting hidden structures in the background level requires specific techniques such as the use of the Multiscale Vision Model (MVM, Bijaoui et al., 1998). This method, based on wavelet transformations optimizes detection of various size objects, however complex they may be. Bijaoui et al. built the Multiscale Vision Model to extract small dynamical structures from noise, mainly for studying galaxies. In this paper, we describe requirements for the use of this method with SOHO/EIT images (calibration, size of the image, dynamics of the subimage, etc.). Two different areas were studied revealing hidden structures: (1) classical coronal mass ejection (CME) formation and (2) a complex group of active regions with its evolution. The aim of this paper is to define carefully the constraints for this new method of imaging the solar corona with SOHO/EIT. Physical analysis derived from multi-wavelength observations will later complete these first results.

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Authors and Affiliations

  1. Max Planck Institut fur Aeronomie (MPAE), Max-Planck-Straße 2, D-37191, Katlenburg-Lindau, Germany

    F. Portier-Fozzani

  2. European Southern Observatory, Karl Schwarzschild Straße 2, D-85748, Garching bei München, Germany

    B. Vandame

  3. Departement Cerga, UMR-CNRS 6527, Observatoire de la Cote d'Azur (OCA), BP 4229, 06304, Nice Cedex 04, France

    A. Bijaoui

  4. LAS-CNRS, BP 8, 13376, Marseille Cedex 12, France

    A.J. Maucherat

Authors
  1. F. Portier-Fozzani
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  2. B. Vandame
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  3. A. Bijaoui
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  4. A.J. Maucherat
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  5. EIT Team
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with J.P. Delaboudinière P.I.

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Portier-Fozzani, F., Vandame, B., Bijaoui, A. et al. A Multiscale Vision Model applied to analyze EIT images of the solar corona. Sol Phys 201, 271–287 (2001). https://doi.org/10.1023/A:1017579625208

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