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Image compression quality measurement : a comparison of the performance of JPEG and fractal compression on satellite images

Thesis (MEng)--Stellenbosch University, 2000.

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Main Author: Nolte, Ernst Hendrik
Other Authors: Boshoff, Hendrik
Format: Thesis
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2012
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access_status_str Open Access
author Nolte, Ernst Hendrik
author2 Boshoff, Hendrik
author_browse Boshoff, Hendrik
Nolte, Ernst Hendrik
author_facet Boshoff, Hendrik
Nolte, Ernst Hendrik
author_sort Nolte, Ernst Hendrik
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (MEng)--Stellenbosch University, 2000.
format Thesis
id oai:scholar.sun.ac.za:10019.1/51796
institution Stellenbosch University (South Africa)
language en_ZA
last_indexed 2026-06-10T12:41:30.564Z
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:10019.1/51796 Image compression quality measurement : a comparison of the performance of JPEG and fractal compression on satellite images Nolte, Ernst Hendrik Boshoff, Hendrik Lourens, Johan Stellenbosch University. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Image processing -- Digital techniques Data compression (Telecommunication) Image compression JPEG (Image coding standard) Dissertations -- Electronic engineering Thesis (MEng)--Stellenbosch University, 2000. ENGLISH ABSTRACT: The purpose of this thesis is to investigate the nature of digital image compression and the calculation of the quality of the compressed images. The work is focused on greyscale images in the domain of satellite images and aerial photographs. Two compression techniques are studied in detail namely the JPEG and fractal compression methods. Implementations of both these techniques are then applied to a set of test images. The rest of this thesis is dedicated to investigating the measurement of the loss of quality that was introduced by the compression. A general method for quality measurement (signal To Noise Ratio) is discussed as well as a technique that was presented in literature quite recently (Grey Block Distance). Hereafter, a new measure is presented. After this, a means of comparing the performance of these measures is presented. It was found that the new measure for image quality estimation performed marginally better than the SNR algorithm. Lastly, some possible improvements on this technique are mentioned and the validity of the method used for comparing the quality measures is discussed. AFRIKAANSE OPSOMMING: Die doel van hierdie tesis is om ondersoek in te stel na die aard van digitale beeldsamepersing en die berekening van beeldkwaliteit na samepersing. Daar word gekonsentreer op grysvlak beelde in die spesifieke domein van satellietbeelde en lugfotos. Twee spesifieke samepersingstegnieke word in diepte ondersoek naamlik die JPEG en fraktale samepersingsmetodes. Implementasies van beide hierdie tegnieke word op 'n stel toetsbeelde aangewend. Die res van hierdie tesis word dan gewy aan die ondersoek van die meting van die kwaliteitsverlies van hierdie saamgeperste beelde. Daar word gekyk na 'n metode wat in algemene gebruik in die praktyk is asook na 'n nuwer metode wat onlangs in die literatuur veskyn het. Hierna word 'n nuwe tegniek bekendgestel. Verder word daar 'n vergelyking van hierdie mates en 'n ondersoek na die interpretasie van die 'kwaliteit' van hierdie kwaliteitsmate gedoen. Daar is gevind dat die nuwe maatstaf vir kwaliteit net so goed en selfs beter werk as die algemene maat vir beeldkwaliteit naamlik die Sein tot Ruis Verhouding. Laastens word daar moontlike verbeterings op die maatstaf genoem en daar volg 'n bespreking oor die geldigheid van die metode wat gevolg is om die kwaliteit van die kwaliteitsmate te bepaal 2012-08-27T11:34:41Z 2012-08-27T11:34:41Z 2000-04 Thesis http://hdl.handle.net/10019.1/51796 en_ZA Stellenbosch University 87 p. : ill. application/pdf Stellenbosch : Stellenbosch University
spellingShingle Image processing -- Digital techniques
Data compression (Telecommunication)
Image compression
JPEG (Image coding standard)
Dissertations -- Electronic engineering
Nolte, Ernst Hendrik
Image compression quality measurement : a comparison of the performance of JPEG and fractal compression on satellite images
title Image compression quality measurement : a comparison of the performance of JPEG and fractal compression on satellite images
title_full Image compression quality measurement : a comparison of the performance of JPEG and fractal compression on satellite images
title_fullStr Image compression quality measurement : a comparison of the performance of JPEG and fractal compression on satellite images
title_full_unstemmed Image compression quality measurement : a comparison of the performance of JPEG and fractal compression on satellite images
title_short Image compression quality measurement : a comparison of the performance of JPEG and fractal compression on satellite images
title_sort image compression quality measurement a comparison of the performance of jpeg and fractal compression on satellite images
topic Image processing -- Digital techniques
Data compression (Telecommunication)
Image compression
JPEG (Image coding standard)
Dissertations -- Electronic engineering
url http://hdl.handle.net/10019.1/51796
work_keys_str_mv AT nolteernsthendrik imagecompressionqualitymeasurementacomparisonoftheperformanceofjpegandfractalcompressiononsatelliteimages