About: Compression of Astronomical Images Based on the Karhunen - Loeve Transform     Goto   Sponge   NotDistinct   Permalink

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Description
  • The study deals with possibility of the Karhunen - Loeve Transform (KLT), also known as PCA (Principal Component Analysis), for astronomical data compression. This approach is based on analysis of statistical properties of these kinds of data. Image data are divided into four groups - dark frame (DF), flat field (FF), light image (LI) and deep sky light image (DSLI). Quality measurement of the influence of loss part of the coder has been based on standard signal functions (mean square error - MSE, peak signal to noise ratio PSNR), subjective quality measurement according to ITU standard (International Telecommunication Union) and the efficiency astronomical image processing.
  • The study deals with possibility of the Karhunen - Loeve Transform (KLT), also known as PCA (Principal Component Analysis), for astronomical data compression. This approach is based on analysis of statistical properties of these kinds of data. Image data are divided into four groups - dark frame (DF), flat field (FF), light image (LI) and deep sky light image (DSLI). Quality measurement of the influence of loss part of the coder has been based on standard signal functions (mean square error - MSE, peak signal to noise ratio PSNR), subjective quality measurement according to ITU standard (International Telecommunication Union) and the efficiency astronomical image processing. (en)
Title
  • Compression of Astronomical Images Based on the Karhunen - Loeve Transform
  • Compression of Astronomical Images Based on the Karhunen - Loeve Transform (en)
skos:prefLabel
  • Compression of Astronomical Images Based on the Karhunen - Loeve Transform
  • Compression of Astronomical Images Based on the Karhunen - Loeve Transform (en)
skos:notation
  • RIV/68407700:21230/06:00120761!RIV10-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/05/2054), 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
  • 469443
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/06:00120761
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • data compression (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [DB93D31FFA88]
http://linked.open...v/mistoKonaniAkce
  • Honolulu
http://linked.open...i/riv/mistoVydani
  • Anaheim
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the Eighth IASTED International Conference on Signal and Image Processing
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
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 1482-7921
number of pages
http://purl.org/ne...btex#hasPublisher
  • ACTA Press
https://schema.org/isbn
  • 978-0-88986-583-9
http://localhost/t...ganizacniJednotka
  • 21230
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