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» Modeling Multigrid Algorithms for Variational Imaging
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DAGM
2010
Springer
14 years 8 months ago
A Convex Approach for Variational Super-Resolution
We propose a convex variational framework to compute high resolution images from a low resolution video. The image formation process is analyzed to provide to a well designed model...
Markus Unger, Thomas Pock, Manuel Werlberger, Hors...
ICIP
2006
IEEE
15 years 11 months ago
Robust Anisotropic Disparity Estimation with Perceptual Maximum Variation Modeling
We present a robust anisotropic dense disparity estimation algorithm which employs perceptual maximum variation modeling. Edge-preserving dense disparity vectors are estimated usi...
Jangheon Kim, Thomas Sikora
DAGM
2008
Springer
14 years 11 months ago
Physically Consistent Variational Denoising of Image Fluid Flow Estimates
Abstract. High-speed image measurements of fluid flows define an important field of research in experimental fluid mechanics and the related industry. Numerous competing methods ha...
Andrey Vlasenko, Christoph Schnörr
ICIP
2008
IEEE
15 years 11 months ago
Variational Bayesian image processing on stochastic factor graphs
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
Xin Li
KES
2008
Springer
14 years 9 months ago
Super Resolution of Multispectral Images Using TV Image Models
Abstract. In this paper we propose a novel algorithm for the pansharpening of multispectral images based on the use of a Total Variation (TV) image prior. Within the Bayesian formu...
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos...