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Image compression using the one-dimensional discrete pulse transform

Thesis (MSc)--University of Stellenbosch, 2011.

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Main Author: Uys, Ernst Wilhelm
Other Authors: Rohwer, Carl Heinrich
Format: Thesis
Language:en_ZA
Published: Stellenbosch : University of Stellenbosch 2011
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access_status_str Open Access
author Uys, Ernst Wilhelm
author2 Rohwer, Carl Heinrich
author_browse Rohwer, Carl Heinrich
Uys, Ernst Wilhelm
author_facet Rohwer, Carl Heinrich
Uys, Ernst Wilhelm
author_sort Uys, Ernst Wilhelm
collection Thesis
dc_rights_str_mv University of Stellenbosch
description Thesis (MSc)--University of Stellenbosch, 2011.
format Thesis
id oai:scholar.sun.ac.za:10019.1/6466
institution Stellenbosch University (South Africa)
language en_ZA
last_indexed 2026-06-10T12:46:55.727Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2011
publishDateRange 2011
publishDateSort 2011
publisher Stellenbosch : University of Stellenbosch
publisherStr Stellenbosch : University of Stellenbosch
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/6466 Image compression using the one-dimensional discrete pulse transform Uys, Ernst Wilhelm Rohwer, Carl Heinrich Eggers, H. C. University of Stellenbosch. Faculty of Science. Dept. of Physics. Discrete pulse transform LULU-theory Multiresolution analysis Image compression Thesis (MSc)--University of Stellenbosch, 2011. ENGLISH ABSTRACT: The nonlinear LULU smoothers excel at removing impulsive noise from sequences and possess a variety of theoretical properties that make it possible to perform a so-called Discrete Pulse Transform, which is a novel multiresolution analysis technique that decomposes a sequence into resolution levels with a large amount of structure, analogous to a Discrete Wavelet Transform. We explore the use of a one-dimensional Discrete Pulse Transform as the central element in a digital image compressor. We depend crucially on the ability of space-filling scanning orders to map the two-dimensional image data to one dimension, sacrificing as little image structure as possible. Both lossless and lossy image compression are considered, leading to five new image compression schemes that give promising results when compared to state-of-the-art image compressors. AFRIKAANSE OPSOMMING: Die nielineêre LULU gladstrykers verwyder impulsiewe geraas baie goed uit rye en besit verskeie teoretiese eienskappe wat dit moontlik maak om ’n sogenoemde Diskrete Puls Transform uit te voer; ’n nuwe multiresolusie analise tegniek wat ’n ry opbreek in ’n versameling resolusie vlakke wat ’n groot hoeveelheid struktuur bevat, soortgelyk tot ’n Diskrete Golfie Transform. Ons ondersoek of ’n eendimensionele Diskrete Puls Transform as die sentrale element in ’n digitale beeld kompressor gebruik kan word. Ons is afhanklik van ruimtevullende skandeer ordes om die tweedimensionele beelddata om te skakel na een dimensie, sonder om te veel beeld struktuur te verloor. Vyf nuwe beeld kompressie skemas word bespreek. Hierdie skemas lewer belowende resultate wanneer dit met die beste hedendaagse beeld kompressors vergelyk word. 2011-02-04T09:18:51Z 2011-03-14T08:10:04Z 2011-02-04T09:18:51Z 2011-03-14T08:10:04Z 2011-03 Thesis http://hdl.handle.net/10019.1/6466 en_ZA University of Stellenbosch 107 p. : ill. application/pdf Stellenbosch : University of Stellenbosch
spellingShingle Discrete pulse transform
LULU-theory
Multiresolution analysis
Image compression
Uys, Ernst Wilhelm
Image compression using the one-dimensional discrete pulse transform
title Image compression using the one-dimensional discrete pulse transform
title_full Image compression using the one-dimensional discrete pulse transform
title_fullStr Image compression using the one-dimensional discrete pulse transform
title_full_unstemmed Image compression using the one-dimensional discrete pulse transform
title_short Image compression using the one-dimensional discrete pulse transform
title_sort image compression using the one dimensional discrete pulse transform
topic Discrete pulse transform
LULU-theory
Multiresolution analysis
Image compression
url http://hdl.handle.net/10019.1/6466
work_keys_str_mv AT uysernstwilhelm imagecompressionusingtheonedimensionaldiscretepulsetransform