Computer Science
Scientific paper
Jan 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006spie.6027..795k&link_type=abstract
ICO20: Optical Information Processing. Edited by Sheng, Yunlong; Zhuang, Songlin; Zhang, Yimo. Proceedings of the SPIE, Volume
Computer Science
Scientific paper
We apply some superresolution techniques to ultraviolet Betelgeuse images observed with the Hubble Space Telescope (HST). Betelgeuse images used here were observed from 1995 to 1999. The profile of Betelgeuse drastically changed during this period, and bright areas (hotspots) sometime appeared on its surface. Their sizes were comparable to the diffraction limit of the HST. Thus, to obtain information on Betelgeuse, the improvement of the resolution is necessary. Through applying superresolution methods to observed images, we clarify their utilities in the analysis of Betelgeuse images. We obtain the positional information on hotspots from superresolved images, and then carry out model fitting of Betelgeuse profiles. We describe the results of model fitting.
Kawagoe Masafumi
Miura Noriaki
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