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Statements

Subject Item
n2:RIV%2F67985815%3A_____%2F12%3A00437057%21RIV15-GA0-67985815
rdf:type
skos:Concept n14:Vysledek
dcterms:description
We discuss methods for modeling and removal of noise in astronomical images. For its favorable properties, we exploit the undecimated wavelet representation and apply noise suppression in this domain. Usually, the noise analysis of the studied imaging system is carried out in the spatial domain. However, noise in astronomical data is non-Gaussian, and thus the noise model parameters need to be estimated directly in the wavelet domain. We derive equations for estimating the sample moments for non-Gaussian noise in the wavelet domain. We consider that the sample moments in the spatial domain are known from the noise analysis and that the model parameters are estimated by using the method of moments. (C) 2012 SPIE and IS&T. We discuss methods for modeling and removal of noise in astronomical images. For its favorable properties, we exploit the undecimated wavelet representation and apply noise suppression in this domain. Usually, the noise analysis of the studied imaging system is carried out in the spatial domain. However, noise in astronomical data is non-Gaussian, and thus the noise model parameters need to be estimated directly in the wavelet domain. We derive equations for estimating the sample moments for non-Gaussian noise in the wavelet domain. We consider that the sample moments in the spatial domain are known from the noise analysis and that the model parameters are estimated by using the method of moments. (C) 2012 SPIE and IS&T.
dcterms:title
Estimation of non-Gaussian noise parameters in the wavelet domain using the moment-generating function Estimation of non-Gaussian noise parameters in the wavelet domain using the moment-generating function
skos:prefLabel
Estimation of non-Gaussian noise parameters in the wavelet domain using the moment-generating function Estimation of non-Gaussian noise parameters in the wavelet domain using the moment-generating function
skos:notation
RIV/67985815:_____/12:00437057!RIV15-GA0-67985815
n3:aktivita
n11:S n11:P n11:I n11:Z
n3:aktivity
I, P(GA205/09/1302), P(GAP102/10/1320), S, Z(MSM6046137306), Z(MSM6840770014)
n3:cisloPeriodika
2
n3:dodaniDat
n18:2015
n3:domaciTvurceVysledku
n17:9658491
n3:druhVysledku
n7:J
n3:duvernostUdaju
n15:S
n3:entitaPredkladatele
n12:predkladatel
n3:idSjednocenehoVysledku
134791
n3:idVysledku
RIV/67985815:_____/12:00437057
n3:jazykVysledku
n5:eng
n3:klicovaSlova
dark current; supperssion; images
n3:klicoveSlovo
n4:images n4:dark%20current n4:supperssion
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[66D1BE0A0D93]
n3:nazevZdroje
Journal of Electronic Imaging
n3:obor
n16:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
7
n3:projekt
n8:GA205%2F09%2F1302 n8:GAP102%2F10%2F1320
n3:rokUplatneniVysledku
n18:2012
n3:svazekPeriodika
21
n3:tvurceVysledku
Koten, Pavel Fliegel, K. Jerhotova, E. Švihlík, J. Vítek, S. Páta, P. Kukal, J.
n3:wos
000306436900044
n3:zamer
n10:MSM6840770014 n10:MSM6046137306
s:issn
1017-9909
s:numberOfPages
16
n19:doi
10.1117/1.JEI.21.2.023025