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.
Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:sun/oai:scholar.sun.ac.za:10019.1/6466 |
Date | 03 1900 |
Creators | Uys, Ernst Wilhelm |
Contributors | Rohwer, Carl Heinrich, Eggers, Hans Christoph, University of Stellenbosch. Faculty of Science. Dept. of Physics. |
Publisher | Stellenbosch : University of Stellenbosch |
Source Sets | South African National ETD Portal |
Language | en_ZA |
Detected Language | Unknown |
Type | Thesis |
Format | 107 p. : ill. |
Rights | University of Stellenbosch |
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