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This paper addresses quantitatively the problem of influence of statistical uncertainties embedded in the recorded image on uncertainties of the reconstructed image. In the analysis we use iterative maximum likelihood algorithm Andril (described by Sylwester and Sylwester 1998) developed for massive deconvolution of flare images obtained by the Soft X-ray Telescope (SXT) on Yohkoh. We illustrate the "ill-conditioned" nature of the image reconstruction problem and suggest the ways to reduce, at least partly, propagation of noise to the reconstructed image.
Słowa kluczowe
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Rocznik
Tom
Strony
189--199
Opis fizyczny
Bibliogr. 2 poz., rys., tab., wykr.
Twórcy
autor
- Space Research Centre, Polish Academy of Sciences, Kopernika 11, 51-622 Wrocław, Poland
autor
- Space Research Centre, Polish Academy of Sciences, Kopernika 11, 51-622 Wrocław, Poland
Bibliografia
- Cruddace, R.G., Hasinger, G.R., Schmitt, J.H. 1988, "Astronomy from Large Databases", ESO Conference and Workshop Proceedings No 28, 177.
- Sylwester, J., and Sylwester, B. 1998, Acta Astron., 48, 519, Paper I.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e08ddd3a-0aad-40fe-be4a-3ec9f18176df