About: Suboptimal Karhunen-Loeve Transform for Compression of Astronomical Images

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper deals with a compression of image data in astronomy applications. Astronomical images are typical with their specific properties - high grayscale bit depth, size, noise occurrence and special processing algorithms. They belong to the class of scientific images. Their processing and compression is quite different from the classic approach to the processing of multimedia images. Database of images from BOOTES has been chosen as a source of the testing signal. There is discussed an approach based on analysis of statistical properties of image data in this paper. Eigen-images of the covariance matrix can be used as base vectors of the integral transform known as the Karhunen-Loeve (KLT). This transform minimize deviation from mean square error point of view. The main disadvantage of KLT is its signal dependency and consequently necessity to transfer base vectors with coded data. There is described the suboptimal solution of this problem in this paper. This paper deals with a compression of image data in astronomy applications. Astronomical images are typical with their specific properties - high grayscale bit depth, size, noise occurrence and special processing algorithms. They belong to the class of scientific images. Their processing and compression is quite different from the classic approach to the processing of multimedia images. Database of images from BOOTES has been chosen as a source of the testing signal. There is discussed an approach based on analysis of statistical properties of image data in this paper. Eigen-images of the covariance matrix can be used as base vectors of the integral transform known as the Karhunen-Loeve (KLT). This transform minimize deviation from mean square error point of view. The main disadvantage of KLT is its signal dependency and consequently necessity to transfer base vectors with coded data. There is described the suboptimal solution of this problem in this paper. (en)
Title	Suboptimal Karhunen-Loeve Transform for Compression of Astronomical Images Suboptimal Karhunen-Loeve Transform for Compression of Astronomical Images (en)
skos:prefLabel	Suboptimal Karhunen-Loeve Transform for Compression of Astronomical Images Suboptimal Karhunen-Loeve Transform for Compression of Astronomical Images (en)
skos:notation	RIV/68407700:21230/06:00120900!RIV10-MSM-21230___
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(GA102/05/2054), Z(MSM6840770014)
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Páta, Petr
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	502379
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/06:00120900
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	astronomical image data compression (en)
http://linked.open.../riv/klicoveSlovo	astronomical image data compression
http://linked.open...ontrolniKodProRIV	[A3C77214CF23]
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	JA
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...vavai/riv/projekt	Qualitative aspects of audiovisual information processing in multimedia systems
http://linked.open...UplatneniVysledku	2006
http://linked.open...iv/tvurceVysledku	Páta, Petr
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2006-08-27 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Výzkum perspektivních informačních a komunikačních technologií
number of pages	6 (xsd:int)
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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