Dark Frame Correction Via Bayesian Estimator in the Wavelet Domain

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F06%3A00120898" target="_blank" >RIV/68407700:21230/06:00120898 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Dark Frame Correction Via Bayesian Estimator in the Wavelet Domain
Original language description
It is generally known that every astronomical image which was acquired by CCD sensor, have to be corrected by dark frame. The Dark frame is mapping the dark current of the CCD. May become that we don't have the dark frame image and we cannot directly tocorrect the astronomical images. This work deals with dark frame correction based on Bayesian estimator in the wavelet domain. The models of the marginal probability density function (PDF) of the wavelet coefficients of astronomical images and dark frameimages based on generalized Laplacian is used by this estimator. The parameters of the models, which were mentioned above, were estimated by least square error method on set of the images from our image database.The correction of the astronomical imagesby dark frame is better than the Bayesian estimator, but further work will deal with more sophisticated Bayesian estimator with more robust statistical description of the images.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2006
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2006 IEEE International Symposium on Signal Processing and Information Technology
ISBN
978-0-7803-9753-8
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Omnipress
Place of publication
Madison
Event location
Vancouver
Event date
Aug 27, 2006
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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