Astronomy and Astrophysics – Astrophysics
Scientific paper
Oct 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006a%26a...457..729m&link_type=abstract
Astronomy and Astrophysics, Volume 457, Issue 2, October II 2006, pp.729-736
Astronomy and Astrophysics
Astrophysics
3
Methods: Data Analysis, Techniques: Image, Processing, Sun: Corona, Sun: Coronal Mass Ejections (Cmes)
Scientific paper
Context: .CCD images obtained by space-based astronomy and solar physics are frequently spoiled by galactic and solar cosmic rays, and particles in the Earth's radiation belt, which produces an overlaid, often saturated, speckle. Aims: .We describe the development and application of a new image-processing technique for the removal of this noise source, and apply it to SOHO/LASCO coronagraph images. Methods: .We employ soft morphological filters, a branch of non-linear image processing originating from the field of mathematical morphology, which are particularly effective for noise removal. Results: .The soft morphological filters result in a significant improvement in image quality, and perform significantly better than other currently existing methods based on frame comparison, thresholding, or simple morphologies. Conclusions: .This is a promising and adaptable technique that should be extendable to other space-based solar and astronomy datasets.
Fletcher Lauren
Hough K.
Marshall Sean
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