Optimal filtering of solar images using soft morphological processing techniques
Department of Electronic and Electrical Engineering, University of Strathclyde, Royal College Building, 204 George Street, Glasgow G1 1XW, Scotland, UK e-mail: firstname.lastname@example.org
2 Department of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, Scotland, UK
Accepted: 27 June 2006
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.
Key words: methods: data analysis / techniques: image processing / Sun: corona / Sun: coronal mass ejections (CMEs)
© ESO, 2006