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ICICIC
2006
IEEE
14 years 2 months ago
An Edge-Driven Total Variation Approach to Image Deblurring and Denoising
Traditional nonlinear filtering techniques are observed in underutilization of blur identification techniques, and vice versa. To improve blind image restoration, a designed edg...
Hongwei Zheng, Olaf Hellwich
DAGM
2006
Springer
13 years 10 months ago
On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-temporal Regularization
We present a variational approach to motion estimation of instationary fluid flows. Our approach extends prior work along two directions: (i) The full incompressible Navier-Stokes ...
Paul Ruhnau, Annette Stahl, Christoph Schnörr
CVPR
2012
IEEE
11 years 11 months ago
Dense Lagrangian motion estimation with occlusions
We couple occlusion modeling and multi-frame motion estimation to compute dense, temporally extended point trajectories in video with significant occlusions. Our approach combine...
Susanna Ricco, Carlo Tomasi
EMMCVPR
2009
Springer
14 years 3 months ago
A PDE Approach to Coupled Super-Resolution with Non-parametric Motion
The problem of recovering a high-resolution image from a set of distorted (e.g., warped, blurred, noisy) and low-resolution images is known as super-resolution. Accurate motion est...
Mehran Ebrahimi, Anne L. Martel
SIAMIS
2010
167views more  SIAMIS 2010»
13 years 3 months ago
Global Solutions of Variational Models with Convex Regularization
Abstract. We propose an algorithmic framework for computing global solutions of variational models with convex regularity terms that permit quite arbitrary data terms. While the mi...
Thomas Pock, Daniel Cremers, Horst Bischof, Antoni...