J
Joachim Weickert
Researcher at Saarland University
Publications - 397
Citations - 25370
Joachim Weickert is an academic researcher from Saarland University. The author has contributed to research in topics: Anisotropic diffusion & Inpainting. The author has an hindex of 70, co-authored 389 publications receiving 24155 citations. Previous affiliations of Joachim Weickert include Max Planck Society & Kaiserslautern University of Technology.
Papers
More filters
Book ChapterDOI
High Accuracy Optical Flow Estimation Based on a Theory for Warping
TL;DR: By proving that this scheme implements a coarse-to-fine warping strategy, this work gives a theoretical foundation for warping which has been used on a mainly experimental basis so far and demonstrates its excellent robustness under noise.
Book
Anisotropic diffusion in image processing
TL;DR: This work states that all scale-spaces fulllling a few fairly natural axioms are governed by parabolic PDEs with the original image as initial condition, which means that, if one image is brighter than another, then this order is preserved during the entire scale-space evolution.
Journal ArticleDOI
Lucas/Kanade meets Horn/Schunck: combining local and global optic flow methods
TL;DR: In this paper, the authors compare the role of smoothing/regularization processes that are required in local and global differential methods for optic flow computation, and propose a simple confidence measure that minimizes energy functionals.
Journal ArticleDOI
Efficient and reliable schemes for nonlinear diffusion filtering
TL;DR: These novel schemes use an additive operator splitting (AOS), which guarantees equal treatment of all coordinate axes, can be implemented easily in arbitrary dimensions, have good rotational invariance and reveal a computational complexity and memory requirement which is linear in the number of pixels.
Journal ArticleDOI
Coherence-Enhancing Diffusion Filtering
TL;DR: This work presents a multiscale method in which a nonlinear diffusion filter is steered by the so-called interest operator (second-moment matrix, structure tensor), and an m-dimensional formulation of this method is analysed with respect to its well-posedness and scale-space properties.