Treffer: PDE-based deconvolution with forward-backward diffusivities and diffusion tensors

Title:
PDE-based deconvolution with forward-backward diffusivities and diffusion tensors
Authors:
WELK, Martin, THEIS, David, BROX, Thomas, WEICKERT, Joachim
Source:
Scale space and PDE methods in computer vision (Hofgeismar, 7-9 April 2005)Lecture notes in computer science. :585-597
Publisher Information:
Berlin: Springer, 2005.
Publication Year:
2005
Physical Description:
print, 17 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Analyse non convexe, Non convex analysis, Análisis no convexo, Calcul variationnel, Variational calculus, Cálculo de variaciones, Diffusion anisotrope, Anisotropic scattering, Difusión anisotrópica, Déconvolution, Deconvolution, Desconvolución, Equation diffusion, Diffusion equation, Ecuación difusión, Equation réaction diffusion, Reaction diffusion equation, Ecuación reacción difusión, Filtrage Wiener, Wiener filtering, Filtrado Wiener, Filtre Wiener, Wiener filter, Filtro Wiener, Filtre linéaire, Linear filter, Filtro lineal, Image floue, Blurred image, Imagen borrosa, Invariant, Invariante, Rapport signal bruit, Signal to noise ratio, Relación señal ruido, Réduction bruit, Noise reduction, Reducción ruido, Traitement image, Image processing, Procesamiento imagen, Vision ordinateur, Computer vision, Visión ordenador, Variation totale, Total variation, Variación total
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Bldg. 27, Saarland University, 66041 Saarbrucken, Germany
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=16894641
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.16894641
Database:
PASCAL Archive

Weitere Informationen

Deblurring with a spatially invariant kernel of arbitrary shape is a frequent problem in image processing. We address this task by studying nonconvex variational functionals that lead to diffusion-reaction equations of Perona-Malik type. Further we consider novel deblurring PDEs with anisotropic diffusion tensors. In order to improve deblurring quality we propose a continuation strategy in which the diffusion weight is reduced during the process. To evaluate our methods, we compare them to two established techniques: Wiener filtering which is regarded as the best linear filter, and a total variation based deconvolution which is the most widespread deblurring PDE. The experiments confirm the favourable performance of our methods, both visually and in terms of signal-to-noise ratio.