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Proceedings Paper

Smoothing of astronomical images with Poisson distribution
Author(s): Zuzana Krbcová; Jaromír Kukal; Jan Švihlík; Karel Fliegel
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Paper Abstract

Images obtained from an astronomical digital camera are of integer nature as event counters in every pixel of its image sensor. The quality of the captured images is in uenced mostly by the camera characteristics and photon noise caused by natural random uctuation of observed light. We suppose the image pixel intensity as a mean value of the signal with Poisson distribution. The application of maximum likelihood method with image gradient regularization leads to variational task in discrete formulation. This variational task has only one unique solution on which the novel numerical method of image smoothing is based. The performance of the proposed smoothing procedure is tested using real images obtained from the digital camera in Meteor Automatic Imager and Analyzer (MAIA).

Paper Details

Date Published: 19 September 2017
PDF: 6 pages
Proc. SPIE 10396, Applications of Digital Image Processing XL, 103962V (19 September 2017); doi: 10.1117/12.2274121
Show Author Affiliations
Zuzana Krbcová, Univ. of Chemistry and Technology Prague (Czech Republic)
Jaromír Kukal, Univ. of Chemistry and Technology Prague (Czech Republic)
Jan Švihlík, Univ. of Chemistry and Technology Prague (Czech Republic)
Czech Technical Univ. in Prague (Czech Republic)
Karel Fliegel, Czech Technical Univ. in Prague (Czech Republic)


Published in SPIE Proceedings Vol. 10396:
Applications of Digital Image Processing XL
Andrew G. Tescher, Editor(s)

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