Estimation of Poisson noise in spatial domain

Jan Švihlík; Karel Fliegel; Stanislav Vítek; Jaromír Kukal; Zuzana Krbcová

doi:10.1117/12.2274149

19 September 2017 Estimation of Poisson noise in spatial domain

Jan Švihlík, Karel Fliegel, Stanislav Vítek, Jaromír Kukal, Zuzana Krbcová

Proceedings Volume 10396, Applications of Digital Image Processing XL; 103962X (2017) https://doi.org/10.1117/12.2274149
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

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.

Citation Download Citation

Jan Švihlík, Karel Fliegel, Stanislav Vítek, Jaromír Kukal, and Zuzana Krbcová "Estimation of Poisson noise in spatial domain", Proc. SPIE 10396, Applications of Digital Image Processing XL, 103962X (19 September 2017); https://doi.org/10.1117/12.2274149

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