Estimation of Poisson noise in spatial domain

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F17%3A43913233" target="_blank" >RIV/60461373:22340/17:43913233 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/17:00315363
Result on the web
<a href="https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10396/103962X/Estimation-of-Poisson-noise-in-spatial-domain/10.1117/12.2274149.short?SSO=1" target="_blank" >https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10396/103962X/Estimation-of-Poisson-noise-in-spatial-domain/10.1117/12.2274149.short?SSO=1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.2274149" target="_blank" >10.1117/12.2274149</a>

Result language
angličtina
Original language name
Estimation of Poisson noise in spatial domain
Original language description
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 rst, 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 identi ed, 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.
Czech name
—
Czech description
—

Project
<a href="/en/project/GA17-05840S" target="_blank" >GA17-05840S: Multicriteria Optimization of Shift-Variant Imaging System Models</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of SPIE Volume 10396 Applications of Digital Image Processing XL
ISBN
978-1-5106-1249-5
ISSN
—
e-ISSN
1996-756X
Number of pages
7
Pages from-to
"103962X-1"-"103962X-7"
Publisher name
SPIE Society of Photo-Optical Instrumentation Engineers
Place of publication
Washington
Event location
San Diego
Event date
Aug 7, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000418443700084

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