Suboptimal Karhunen-Loeve Transform for Compression of Astronomical Images
The result's identifiers
Result code in 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>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Suboptimal Karhunen-Loeve Transform for Compression of Astronomical Images
Original language 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 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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GA102%2F05%2F2054" target="_blank" >GA102/05/2054: Qualitative aspects of audiovisual information processing in multimedia systems</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2006
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2006 IEEE International Symposium on Signal Processing and Information Technology
ISBN
978-0-7803-9753-8
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
—
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
—