Marshall, S. and Fletcher, L. and Hough, K. (2006) Optimal Filtering of Solar Images using Soft Morphological Processing Techniques. Astronomy and Astrophysics, 457 (2). pp. 729-736. ISSN 0004-6361Full text not available in this repository. (Request a copy from the Strathclyde author)
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. 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. 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. 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. This is a promising and adaptable technique that should be extendable to other space-based solar and astronomy datasets.
|Keywords:||data analysis , image processing , corona , sun, coronal mass ejections, CMEs, Electrical engineering. Electronics Nuclear engineering, Astronomy and Astrophysics, Space and Planetary Science|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering
|Depositing user:||Strathprints Administrator|
|Date Deposited:||07 Nov 2011 12:42|
|Last modified:||29 Apr 2016 09:43|