18 citations · 20 across the 4 of their papers we have counts for
10 papers · 1 filter
Variational Coupling Revisited: Simpler Models, Theoretical Connections, and Novel Applications
Aaron Wewior, Joachim Weickert
Variational models with coupling terms are becoming increasingly popular in image analysis. They involve auxiliary variables, such that their energy minimisation splits into multip…
Robustness of Brain Tumor Segmentation
Sabine Müller, Joachim Weickert, Norbert Graf
Purpose: The segmentation of brain tumors is one of the most active areas of medical image analysis. While current methods perform superhuman on benchmark data sets, their applicab…
Learning a Generic Adaptive Wavelet Shrinkage Function for Denoising
Tobias Alt, Joachim Weickert
The rise of machine learning in image processing has created a gap between trainable data-driven and classical model-driven approaches: While learning-based models often show super…
Object Segmentation Tracking from Generic Video Cues
Amirhossein Kardoost, Sabine Müller, Joachim Weickert +1
We propose a light-weight variational framework for online tracking of object segmentations in videos based on optical flow and image boundaries. While high-end computer vision met…
Poisson Noise Removal Using Multi-Frame 3D Block Matching
Kireeti Bodduna, Joachim Weickert
The 3D block matching (BM3D) filter belongs to the state-of-the-art techniques for eliminating additive white Gaussian noise from single-frame images. There exist four multi-frame…
Enhancing Patch-Based Methods with Inter-frame Connectivity for Denoising Multi-frame Images
Kireeti Bodduna, Joachim Weickert
The 3D block matching (BM3D) method is among the state-of-art methods for denoising images corrupted with additive white Gaussian noise. With the help of a novel inter-frame connec…