Title: Normal mesh based geometrical image compression
Authors: Van Aerschot, Ward ×
Jansen, Maarten
Bultheel, Adhemar #
Issue Date: Mar-2009
Publisher: Butterworths
Series Title: Image and Vision Computing vol:27 issue:4 pages:459-468
Abstract: Recently the performance of nonlinear transforms have been given a lot of attention
to overcome the suboptimal n-terms approximation power of tensor product wavelet
methods on higher dimensions. The suboptimal performance prevails when the lat-
ter are used for a sparse representation of functions consisting of smoothly varying
areas separated by smooth contours. This paper introduces a method creating nor-
mal meshes with nonsubdivision connectivity to approximate the nonsmoothness
of such images efficiently. From a domain decomposition viewpoint, the method
is a triangulation refinement method preserving contours. The method is nonlin-
ear as it depends on the actual image. This paper proposes a normal offset based
compression algorithm for digital images. The discretisation causes the transform
to become redundant. We further develop a model to encode the obtained coeffi-
cients. We show promising rate distortion curves and compare the results with the
JPEG2000 encoder.
ISSN: 0262-8856
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Numerical Analysis and Applied Mathematics Section
Statistics Section
× corresponding author
# (joint) last author

Files in This Item:
File Description Status SizeFormat
vanaerschot_NMbasedGeomImCompr.pdfNormal Mesh based Geometrical Image Compression Published 913KbAdobe PDFView/Open


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science