@INPROCEEDINGS{PrRu99,
author = {Preu{\ss}er, T. and Rumpf, M.},
title = {Anisotropic Nonlinear Diffusion in Flow Visualization},
booktitle = {Visualization},
year = {1999},
abstract = {Vector field visualization is an important topic in scientific visualization.
Its aim is to graphically represent field data in an intuitively
understandable and precise way. Here a new approach based on anisotropic
nonlinear diffusion is introduced. It enables an easy perception
of flow data and serves as an appropriate scale space method for
the visualization of complicated flow pattern. The approach is closely
related to nonlinear diffusion methods in image analysis where images
are smoothed while still retaining and enhancing edges. Here an initial
noisy image is smoothed along streamlines, whereas the image is sharpened
in the orthogonal direction. The method is based on a continuous
model and requires the solution of a parabolic PDE problem. It is
discretized only in the final implementational step. Therefore, many
important qualitative aspects can already be discussed on a continuous
level. Applications are shown in 2D and 3D and the provisions for
flow segmentation are outlined.},
pdf = {http://numod.ins.uni-bonn.de/research/papers/public/PrRu99.pdf},
html = {http://numerik.math.uni-duisburg.de/research/research-sites/preusser/FlowVis/index.html},
printed = {1}
}