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An image compression system for LEO satellites

Thesis (MScEng)--Stellenbosch University, 2003.

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Bibliographic Details
Main Author: Kriegler, Eduard
Other Authors: Mostert, S.
Format: Thesis
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2012
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access_status_str Open Access
author Kriegler, Eduard
author2 Mostert, S.
author_browse Kriegler, Eduard
Mostert, S.
author_facet Mostert, S.
Kriegler, Eduard
author_sort Kriegler, Eduard
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (MScEng)--Stellenbosch University, 2003.
format Thesis
id oai:scholar.sun.ac.za:10019.1/53264
institution Stellenbosch University (South Africa)
language en_ZA
last_indexed 2026-06-10T12:44:23.606Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2012
publishDateRange 2012
publishDateSort 2012
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/53264 An image compression system for LEO satellites Kriegler, Eduard Mostert, S. Stellenbosch University. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Image compression Image processing Dissertations -- Electronic engineering Thesis (MScEng)--Stellenbosch University, 2003. ENGLISH ABSTRACT: Data volumes produced by the next generation of earth observation sensors have increased greatly in recent years. Sensors are generating more data than can be easily stored onboard satellites and transmitted to the ground-stations. There are two strategies for solving this problem. The first is to process all images onboard the satellite, and only extract the useful or valuable information. The second is to use a compression algorithm to reduce the data volume. This thesis looks at both strategies and then focusses on an evaluation of the Embedded Zerotree Wavelet (EZW) algorithm, a wavelet-based lossy image compression algorithm, as a solution to reduce the data volumes. Possible hardware implementation strategies for this algorithm are also explored. Finally, a suggested implementation of the EZW algorithm is compared with the FlexWave-II system and with JPEG2000. AFRIKAANSE OPSOMMING: Die data volumes wat deur die nuwe generasie van aardobservasiesensore geproduseer word, het dramaties vergroot in die laaste paar jaar. Daar word nou meer data geproduseer as wat aanboord van die satelliet gestoor kan word en meer as wat in die beperkte kommunikasietyd aan die grondstasie gestuur kan word. Daar is twee strategiee om hierdie probleem aan te spreek. Eerstens kan beelde aanboord die satelliet verwerk word om die belangrikste of waardevolste inligting uit te haal en die res van die data word dan geskrap. Die alternatief is om 'n beeldkompressie-algoritme te gebruik om die data te verminder. Hierdie tesis ondersoek hierdie strategieë en fokus dan op 'n evaluasie van die "Embedded Zerotree Wavelet" -algoritme. Die EZW-algoritme is 'n verlieserige, golfie-gebaseerde beeldkompressie-algoritme. Moontlike hardeware-implementeringsopsies word ondersoek en die resultate van een voorgestelde opsie word vergelyk met die FlexWave-II stelsel asook die nuwe JPEG2000-standaard. 2012-08-27T11:35:23Z 2012-08-27T11:35:23Z 2003-12 Thesis http://hdl.handle.net/10019.1/53264 en_ZA Stellenbosch University 158 p. : ill. application/pdf Stellenbosch : Stellenbosch University
spellingShingle Image compression
Image processing
Dissertations -- Electronic engineering
Kriegler, Eduard
An image compression system for LEO satellites
title An image compression system for LEO satellites
title_full An image compression system for LEO satellites
title_fullStr An image compression system for LEO satellites
title_full_unstemmed An image compression system for LEO satellites
title_short An image compression system for LEO satellites
title_sort image compression system for leo satellites
topic Image compression
Image processing
Dissertations -- Electronic engineering
url http://hdl.handle.net/10019.1/53264
work_keys_str_mv AT krieglereduard animagecompressionsystemforleosatellites
AT krieglereduard imagecompressionsystemforleosatellites