Multiscale Solar Image Processing

Details Multiscale Solar Image Processing Multiscale Solar Image Processing

Dec 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006agufmsh23b0369y&link_type=abstract

American Geophysical Union, Fall Meeting 2006, abstract #SH23B-0369

Physics

7509 Corona, 7513 Coronal Mass Ejections (2101), 7959 Models

Scientific paper

Wavelets have been very successfully used as a tool for noise reduction and general processing of images. Despite this, wavelets have inherent limitations with 2-D data. Wavelets are well suited for describing point singularities but much of the interesting information in images is described by edges, lines or curves. Newly developed multiscale transforms address some of these issues. The ridgelet transform takes the multiscale concept of wavelets but applies it to 1-D objects (lines) instead of 0-D objects (points). The curvelet transform likewise applies to multiscale curves. We present a preliminary study of the use of these new multiscale transforms with solar image data. These data include TRACE EUV images and LASCO coronagraph images.

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