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  • 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 to correct 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 frame images 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 images by 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.
  • 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 to correct 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 frame images 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 images by 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. (en)
Title
  • Dark Frame Correction Via Bayesian Estimator in the Wavelet Domain
  • Dark Frame Correction Via Bayesian Estimator in the Wavelet Domain (en)
skos:prefLabel
  • Dark Frame Correction Via Bayesian Estimator in the Wavelet Domain
  • Dark Frame Correction Via Bayesian Estimator in the Wavelet Domain (en)
skos:notation
  • RIV/68407700:21230/06:00120898!RIV10-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/05/2054), P(GD102/03/H109), Z(MSM6840770014)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 470434
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/06:00120898
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • dark frame correction; wavelet transform (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [14C322758589]
http://linked.open...v/mistoKonaniAkce
  • Vancouver
http://linked.open...i/riv/mistoVydani
  • Madison
http://linked.open...i/riv/nazevZdroje
  • 2006 IEEE International Symposium on Signal Processing and Information Technology
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Páta, Petr
  • Švihlík, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Omnipress
https://schema.org/isbn
  • 978-0-7803-9753-8
http://localhost/t...ganizacniJednotka
  • 21230
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