On Re-sampling of Solar Images |
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| Authors: | DeForest CE |
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| Institution: | (1) Southwest Research Institute, Boulder, CO, U.S.A |
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| Abstract: | Digital image data are now commonly used throughout the field of solar physics. Many steps of image data analysis, including
image co-alignment, perspective reprojection of the solar surface, and compensation for solar rotation, require re-sampling
original telescope image data under a distorting coordinate transformation. The most common image re-sampling methods introduce
significant, unnecessary flaws into the data. More correct techniques have been known in the computer graphics community for
some time but remain little known within the solar community and hence deserve further presentation. Furthermore, image distortion
under specialized coordinate transformations is a powerful analysis technique with applications well beyond image resizing
and perspective compensation. Here I give a brief overview of the mathematics of data re-sampling under arbitrary distortions,
present a simple algorithm for optimized re-sampling, give some examples of distortion as an analysis tool, and introduce
scientific image distortion software that is freely available over the Internet.
``First get your facts straight. Then you can distort them as you please.' – Mark Twain |
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