Denoising observational data

Details Denoising observational data Denoising observational data

Oct 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011coska..41..149b&link_type=abstract

Contributions of the Astronomical Observatory Skalnaté Pleso, vol. 41, no. 2, p. 149-155.

Other

Techniques: Image Processing

Scientific paper

Reducing noise caused by the instrumentation in observational data is a crucial step in data post-processing. A method is searched for that conserves most of the instrumental resolution and introduces as few methodical artefacts as possible. With such a method integrated in an observation sites software tool-chain, the resources spent for the generation of observational data will more likely find their way into resulting scientific publications; otherwise, for data post-processing often methods are used, which just smear out the noise, introduce artefacts, or decrease the provided resolution in space or time. A short review of different techniques is given here, and a non-local averaging method is applied to Hinode magnetograms and G-band data. The presented method fits the needs for various kinds of observational data.

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