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Open Access Green as soon as Postprint is submitted to ZB.
Image compression by linear splines over adaptive triangulations.
Signal Process. 86, 1604-1616 (2006)
This paper proposes a new method for image compression. The method is based on the approximation of an image, regarded as a function, by a linear spline over an adapted triangulation, D(Y), which is the Delaunay triangulation of a small set Y of significant pixels. The linear spline minimizes the distance to the image, measured by the mean square error, among all linear splines over D(Y). The significant pixels in Y are selected by an adaptive thinning algorithm, which recursively removes less significant pixels in a greedy way, using a sophisticated criterion for measuring the significance of a pixel. The proposed compression method combines the approximation scheme with a customized scattered data coding scheme. We compare our compression method with JPEG2000 on two geometric images and on three popular test cases of real images.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
image compression; adaptive thinning; linear splines; Delaunay triangulations; scattered data coding
Language
Publication Year
2006
HGF-reported in Year
2006
ISSN (print) / ISBN
0165-1684
e-ISSN
1872-7557
Journal
Signal Processing
Quellenangaben
Volume: 86,
Issue: 7,
Pages: 1604-1616
Publisher
Elsevier
Publishing Place
Amsterdam
Reviewing status
Peer reviewed
Institute(s)
Institute of Biomathematics and Biometry (IBB)
POF-Topic(s)
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
PSP Element(s)
G-503800-001
Scopus ID
33646129226
Erfassungsdatum
2006-12-31