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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F07%3A03132692%21RIV08-GA0-21230___
rdf:type
skos:Concept n18:Vysledek
dcterms:description
It is generally known that every astronomical image, which was acquired by CCD sensor, has to be corrected by dark frame. The Dark frame maps the thermally generated charge of the CCD. May become that the dark frame image is not available and it is impossible to correct the astronomical images directly. It is good to note that uncorrected images are not suitable for subsequent investigation. During the recent year the algorithms for the thermally generated charge elimination were proposed. All these algorithms use the Discrete Wavelet Transform (DWT). The DWT transforms image into different frequency bands. Wavelet coefficients histogram should be modeled by generalized Laplacian probability density function (PDF). The Laplacian parameters were estimated by moment method using derived equation system. Furthermore, the images, where the thermally generated charge was suppressed, were estimated using Bayesian estimators. Není k dispozici It is generally known that every astronomical image, which was acquired by CCD sensor, has to be corrected by dark frame. The Dark frame maps the thermally generated charge of the CCD. May become that the dark frame image is not available and it is impossible to correct the astronomical images directly. It is good to note that uncorrected images are not suitable for subsequent investigation. During the recent year the algorithms for the thermally generated charge elimination were proposed. All these algorithms use the Discrete Wavelet Transform (DWT). The DWT transforms image into different frequency bands. Wavelet coefficients histogram should be modeled by generalized Laplacian probability density function (PDF). The Laplacian parameters were estimated by moment method using derived equation system. Furthermore, the images, where the thermally generated charge was suppressed, were estimated using Bayesian estimators.
dcterms:title
Bayesian approach to the thermally generated charge elimination Bayesovský přístup k eliminaci tepelně generovaného náboje ve snímcích pořízených CCD sensorem Bayesian approach to the thermally generated charge elimination
skos:prefLabel
Bayesovský přístup k eliminaci tepelně generovaného náboje ve snímcích pořízených CCD sensorem Bayesian approach to the thermally generated charge elimination Bayesian approach to the thermally generated charge elimination
skos:notation
RIV/68407700:21230/07:03132692!RIV08-GA0-21230___
n3:strany
66961R-01;66961R-09
n3:aktivita
n21:Z n21:P
n3:aktivity
P(GA102/05/2054), Z(MSM6840770014)
n3:dodaniDat
n19:2008
n3:domaciTvurceVysledku
n7:8430578
n3:druhVysledku
n10:D
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n14:predkladatel
n3:idSjednocenehoVysledku
411439
n3:idVysledku
RIV/68407700:21230/07:03132692
n3:jazykVysledku
n4:eng
n3:klicovaSlova
Bayesian estimator; dark frame correction; image model; wavelet transform
n3:klicoveSlovo
n6:wavelet%20transform n6:Bayesian%20estimator n6:dark%20frame%20correction n6:image%20model
n3:kontrolniKodProRIV
[C56B05303909]
n3:mistoKonaniAkce
San Diego
n3:mistoVydani
Bellingham
n3:nazevZdroje
Applications of Digital Image Processing XXX
n3:obor
n12:JA
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:projekt
n15:GA102%2F05%2F2054
n3:rokUplatneniVysledku
n19:2007
n3:tvurceVysledku
Švihlík, Jan
n3:typAkce
n20:WRD
n3:zahajeniAkce
2007-08-26+02:00
n3:zamer
n17:MSM6840770014
s:numberOfPages
9
n22:hasPublisher
SPIE
n13:isbn
978-0-8194-6844-4
n11:organizacniJednotka
21230