<div class="csl-bib-body">
<div class="csl-entry">Hackl, H. (2022). <i>Adaptive image processing</i> [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.105120</div>
</div>
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dc.identifier.uri
https://doi.org/10.34726/hss.2022.105120
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/81298
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dc.description
Abweichender Titel nach Übersetzung der Verfasserin/des Verfassers
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dc.description.abstract
Since decades the standard for storing images is the .jpg format. The JPEG algorithm decomposes the image into a mesh consisting of 8 × 8 pixel blocks. On each such block,the image is stored efficiently (see [Wik21] for details). The goal of this work is to obtain acoarses mesh adaptively to save even more storage space while also maintaining the imagequality. Besides the formulation of such an algorithm, there is also a near-optimality result given by Binev P. and DeVore R. for the algorithm (siehe [BD04]). Finally, the algorithmis tested on some test images, which shows that the algorithm has a significantly better compression rate than the JPEG algorithm for many images.
en
dc.language
English
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
image compression
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dc.subject
JPEG
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dc.subject
adaptive mesh refinement
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dc.subject
optimality
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dc.subject
error estimator
en
dc.title
Adaptive image processing
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dc.title.alternative
Adaptive Bildverarbeitung
de
dc.type
Thesis
en
dc.type
Hochschulschrift
de
dc.rights.license
In Copyright
en
dc.rights.license
Urheberrechtsschutz
de
dc.identifier.doi
10.34726/hss.2022.105120
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dc.contributor.affiliation
TU Wien, Österreich
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dc.rights.holder
Hubert Hackl
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dc.publisher.place
Wien
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tuw.version
vor
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tuw.thesisinformation
Technische Universität Wien
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tuw.publication.orgunit
E101 - Institut für Analysis und Scientific Computing
