Suboptimal Karhunen-Loeve Transform for Compression of Astronomical Images

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F06%3A00120900" target="_blank" >RIV/68407700:21230/06:00120900 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Suboptimal Karhunen-Loeve Transform for Compression of Astronomical Images

Popis výsledku v původním jazyce

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 ofscientific 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.

Název v anglickém jazyce

Suboptimal Karhunen-Loeve Transform for Compression of Astronomical Images

Popis výsledku anglicky

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 ofscientific 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.

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

<a href="/cs/project/GA102%2F05%2F2054" target="_blank" >GA102/05/2054: Kvalitativní aspekty zpracování audiovizuální informace v multimediálních systémech</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2006

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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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Počet stran výsledku

6

Strana od-do

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Název nakladatele

Omnipress

Místo vydání

Madison

Místo konání akce

Vancouver

Datum konání akce

27. 8. 2006

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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