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Bibliographic record number: 369640


Authors: Galić, Irena; Weickert, Joachim; Welk, Martin; Bruhn, Andrés; Belyaev, Alexander; Seidel, Hans-Peter
Title: Towards PDE-based image compression
( Towards PDE-based image compression )
Source: Third International Workshop (VLSM 2005) "Variational, Geometric, and Level Set Methods in Computer Vision" : proceedings ; u: Lecture Notes in Computer Science Vol. 3752 / Paragios, N. ; Faugeras, O. ; Chan, T. ; Schnörr C. (ed). - Berlin : Springer , 2005. 37-48 (ISBN: 978-3-540-29348-4).
ISSN: 0302-9743
Meeting: International Workshop "Variational, Geometric, and Level Set Methods in Computer Vision" (3 ; 2005)
Location and date: Peking, Kina, 16.10.2005.
Keywords: partial differential equations ; nonlinear diffusion ; image compression ; image inpainting
( partial differential equations ; nonlinear diffusion ; image compression ; image inpainting )
While methods based on partial differential equations (PDEs) and variational techniques are powerful tools for denoising and inpainting digital images, their use for image compression was mainly focussing on pre- or postprocessing so far. In our paper we investigate their potential within the decoding step. We start with the observation that edge-enhancing diffusion (EED), an anisotropic nonlinear diffusion filter with a diffusion tensor, is well-suited for scattered data interpolation: Even when the interpolation data are very sparse, good results are obtained that respect discontinuities and satisfy a maximum– minimum principle. This property is exploited in our studies on PDE-based image compression.We use an adaptive triangulation method based on B-tree coding for removing less significant pixels from the image. The remaining points serve as scattered interpolation data for the EED process. They can be coded in a compact and elegant way that reflects the B-tree structure. Our experiments illustrate that for high compression rates and non-textured images, this PDE-based approach gives visually better results than the widely-used JPEG coding.
Citation databases: Scopus
Type of meeting: Poster
Type of presentation in a journal: Full-text (1500 words and more)
Type of peer-review: International peer-review
Original language: eng
Category: Znanstveni
Research fields:
Computer science
Full paper text: 369640.galic-vlsm05.pdf
Contrib. to CROSBI by: (, 28. Lis. 2008. u 11:34 sati

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