Share Email Print
cover

Proceedings Paper

Estimation of Poisson noise in spatial domain
Author(s): Jan Švihlík; Karel Fliegel; Stanislav Vítek; Jaromír Kukal; Zuzana Krbcová
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper deals with modeling of astronomical images in the spatial domain. We consider astronomical light images contaminated by the dark current which is modeled by Poisson random process. Dark frame image maps the thermally generated charge of the CCD sensor. In this paper, we solve the problem of an addition of two Poisson random variables. At first, the noise analysis of images obtained from the astronomical camera is performed. It allows estimating parameters of the Poisson probability mass functions in every pixel of the acquired dark frame. Then the resulting distributions of the light image can be found. If the distributions of the light image pixels are identified, then the denoising algorithm can be applied. The performance of the Bayesian approach in the spatial domain is compared with the direct approach based on the method of moments and the dark frame subtraction.

Paper Details

Date Published: 19 September 2017
PDF: 7 pages
Proc. SPIE 10396, Applications of Digital Image Processing XL, 103962X (19 September 2017); doi: 10.1117/12.2274149
Show Author Affiliations
Jan Švihlík, Univ. of Chemistry and Technology Prague (Czech Republic)
Karel Fliegel, Czech Technical Univ. in Prague (Czech Republic)
Stanislav Vítek, Czech Technical Univ. in Prague (Czech Republic)
Jaromír Kukal, Univ. of Chemistry and Technology Prague (Czech Republic)
Zuzana Krbcová, Univ. of Chemistry and Technology Prague (Czech Republic)


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

© SPIE. Terms of Use
Back to Top