Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi

Towards PDE-based image compression (CROSBI ID 542760)

Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija

Galić, Irena ; Weickert, Joachim ; Welk, Martin ; Bruhn, Andrés ; Belyaev, Alexander ; Seidel, Hans-Peter Towards PDE-based image compression // Lecture notes in computer science / Paragios, N. ; Faugeras, O. ; Chan, T. et al. (ur.). 2005. str. 37-48 doi: 10.1007/11567646_4

Podaci o odgovornosti

Galić, Irena ; Weickert, Joachim ; Welk, Martin ; Bruhn, Andrés ; Belyaev, Alexander ; Seidel, Hans-Peter

engleski

Towards PDE-based image compression

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.

partial differential equations ; nonlinear diffusion ; image compression ; image inpainting

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o prilogu

37-48.

2005.

nije evidentirano

objavljeno

978-3-540-29348-4

10.1007/11567646_4

Podaci o matičnoj publikaciji

Lecture notes in computer science

Paragios, N. ; Faugeras, O. ; Chan, T. ; Schnörr C.

Berlin: Springer

0302-9743

1611-3349

Podaci o skupu

International Workshop "Variational, Geometric, and Level Set Methods in Computer Vision" (3 ; 2005)

poster

16.10.2005-16.10.2005

Peking, Kina

Povezanost rada

Računarstvo

Poveznice
Indeksiranost