In this paper, for imaging applications, we introduce partial differential equations (PDEs),
which allow for correcting displacement errors, for dejittering, and for deinterlacing …

In this paper we do a systematic investigation of continuous methods for pixel, line pixel and
line dejittering. The basis for these investigations are the discrete line dejittering algorithm of …

In image processing most of the methods for image analysis or feature extraction require
satisfactory quality of the images under investigation. In order to enhance the quality of …

We propose a partial differential equation to be used for interpolating M-channel data, such
as digital color images. This equation is derived via a semi-group from a variational …

We establish a semi-group solution concept for flows that are generated by generalized
minimizers of non-convex energy functionals. We use relaxation and convexification to …

In this paper we study a variational image segmentation technique and establish a formal
relation to implicit active contour models proposed by Caselles, Catté, Coll and Dibos. The …

Attention is the process of focusing our mental capacities on parts of the available
information. This is because humans cannot process all available information at once. In this …

In this paper, for imaging applications, we introduce partial differential equations, which
allow for correcting for displacement errors in multi-channel data. These equations are …

In this paper we construct a shape space of medial ball representations from given shape
training data using methods of Computational Geometry and Statistics. The ultimate goal is …

We establish a semi-group solution concept for morphological differential equations, such as
the mean curvature flow equation. The proposed method consists in generating flows from …