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

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